From f8bce0fefdf0169046401482d77c139a30f6853e Mon Sep 17 00:00:00 2001 From: Markus Date: Sun, 8 Feb 2026 14:10:29 +0100 Subject: [PATCH 1/3] feat: Parse from JSON --- PMout.Rdata | Bin 0 -> 711848 bytes R/PM_cov.R | 51 +- R/PM_cycle.R | 103 +- R/PM_final.R | 54 +- R/PM_op.R | 62 +- R/PM_parse.R | 148 +- R/PM_pop.R | 28 +- R/PM_post.R | 28 +- man/PM_cov.Rd | 6 +- man/PM_cycle.Rd | 6 +- man/PM_final.Rd | 6 +- man/PM_op.Rd | 6 +- man/PM_parse.Rd | 15 +- man/PM_pop.Rd | 6 +- man/PM_post.Rd | 6 +- result.json | 186729 +++++++++++++++++++++++++++++++++++++++++++++ 16 files changed, 187035 insertions(+), 219 deletions(-) create mode 100644 PMout.Rdata create mode 100644 result.json diff --git a/PMout.Rdata b/PMout.Rdata new file mode 100644 index 0000000000000000000000000000000000000000..3a8a88991769ba549e7ebd4bf2db73d74a09a1b2 GIT binary patch literal 711848 zcmX6^cRU;a|8J{yZLOkqQB|}??5LtPEmgI(_DowNMk2MTqG)YG?L8A)YE#snL9E&% zF%v64pYQMfySvxpd9T;=`Fy?Z9(V8KilVsjzm06?l04nQ=ot77^P}%*!NI^?z)c`U 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zS0e`*P*4w|W1AV7|Lga?&$z@y+)@KzhwG-!I^@e|n$ytJ6DPQrr;De>77JPl!L^i922Pl=|TX9r4P@+8o*S*KiV$P0Xf%+~@g;w;Qk z;Ohr5NISoz`l3*4H~M%RILD4k8Mn_Sj)sTCW8WFspvq#jBu1k>#Aar98C1wyhT@55 sdJ3jdVr7ZcuN0vopn_(;GRFa@$z>% literal 0 HcmV?d00001 diff --git a/R/PM_cov.R b/R/PM_cov.R index 40159ad9a..ec268d547 100755 --- a/R/PM_cov.R +++ b/R/PM_cov.R @@ -54,10 +54,10 @@ PM_cov <- R6::R6Class( #' Creation of new `PM_cov` object is automatic and not generally necessary #' for the user to do. #' @param PMdata include `r template("PMdata")`. - #' @param path include `r template("path")`. + #' @param json A parsed JSON list from `result.json`, as read by [PM_parse]. #' @param ... Not currently used. - initialize = function(PMdata = NULL, path = ".", ...) { - self$data <- private$make(PMdata, path) + initialize = function(PMdata = NULL, json = NULL, ...) { + self$data <- private$make(PMdata, json) }, #' @description #' Stepwise linear regression of covariates and Bayesian posterior @@ -94,29 +94,56 @@ PM_cov <- R6::R6Class( } ), # end public private = list( - make = function(data, path) { - if (file.exists(file.path(path, "posterior.csv"))) { - posts <- readr::read_csv(file = file.path( path, "posterior.csv"), show_col_types = FALSE) - } else if (inherits(data, "PM_cov") & !is.null(data$data)) { # file not there, and already PM_cov + make = function(data, json = NULL) { + # --- Obtain posterior data --- + if (!is.null(json) && !is.null(json$posterior)) { + par_names <- json$settings$parameters$parameters$name + # json$theta is already a matrix [nspp x npar] + theta_mat <- json$theta + colnames(theta_mat) <- par_names + theta <- tibble::as_tibble(theta_mat) + theta$prob <- json$w + # json$data$subjects is a data.frame with column $id + subject_ids <- json$data$subjects$id + # json$posterior is a matrix [nsubjects x nspp] + post_list <- lapply(seq_len(nrow(json$posterior)), function(i) { + probs <- json$posterior[i, ] + df <- theta[, par_names, drop = FALSE] + df$prob <- probs + df$id <- subject_ids[i] + df$point <- seq_len(length(probs)) + df + }) + posts <- dplyr::bind_rows(post_list) %>% + dplyr::relocate(id, point, dplyr::everything()) + } else if (inherits(data, "PM_cov") & !is.null(data$data)) { class(data$data) <- c("PM_cov_data", "data.frame") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate covariate-posterior information.", - "i" = "{.file {file.path(path, 'posterior.csv')}} does not exist, and result does not have valid {.code PM_cov} object." + "i" = "No JSON posterior and no valid {.code PM_cov} object." )) return(NULL) } - if (file.exists(file.path(path, "covs.csv"))) { - covs <- readr::read_csv(file = file.path(path, "covs.csv"), show_col_types = FALSE) - } else if (inherits(data, "PM_cov")) { # file not there, and already PM_cov + # --- Obtain covariates data --- + # TODO: Extract covariates from json$data$subjects when available + if (!is.null(json) && !is.null(json$data$subjects)) { + # Placeholder: covariates extraction from JSON not yet implemented + # Fall back to warning for now + cli::cli_warn(c( + "!" = "Covariate extraction from JSON not yet implemented.", + "i" = "PM_cov requires covariate data to be available in the JSON." + )) + return(NULL) + } else if (inherits(data, "PM_cov")) { class(data$data) <- c("PM_cov_data", "data.frame") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate covariate-posterior information.", - "i" = "{.file {file.path(path, 'covs.csv')}} does not exist, and result does not have valid {.code PM_cov} object." + "i" = "No covariate data and no valid {.code PM_cov} object." )) return(NULL) } diff --git a/R/PM_cycle.R b/R/PM_cycle.R index 99b9ccb39..b24888711 100755 --- a/R/PM_cycle.R +++ b/R/PM_cycle.R @@ -55,11 +55,10 @@ PM_cycle <- R6::R6Class( #' Creation of new `PM_cycle` object is automatic and not generally necessary #' for the user to do. #' @param PMdata include `r template("PMdata")`. - #' @param path include `r template("path")`. + #' @param json A parsed JSON list from `result.json`, as read by [PM_parse]. #' @param ... Not currently used. - - initialize = function(PMdata = NULL, path = ".", ...) { - self$data <- private$make(PMdata, path ) + initialize = function(PMdata = NULL, json = NULL, ...) { + self$data <- private$make(PMdata, json) }, #' @description #' Plot method @@ -119,59 +118,99 @@ PM_cycle <- R6::R6Class( } ), # end active private = list( - make = function(data, path) { - if (file.exists(file.path(path, "cycles.csv"))) { - raw <- readr::read_csv(file = file.path(path, "cycles.csv"), show_col_types = FALSE) - if (nrow(raw)==0){ # posterior + make = function(data, json = NULL) { + # --- Obtain cycles data --- + if (!is.null(json) && !is.null(json$cyclelog)) { + cycles_raw <- json$cyclelog$cycles + # cycles_raw is a data.frame with columns: cycle, objf, error_models, theta, nspp, delta_objf, status + raw <- tibble::tibble( + cycle = cycles_raw$cycle, + neg2ll = -2 * cycles_raw$objf, + nspp = cycles_raw$nspp, + delta_objf = cycles_raw$delta_objf, + status = sapply(cycles_raw$status, function(s) { + if (is.list(s)) names(s)[1] else as.character(s) + }) + ) + # Extract gamlam values from error_models + # cycles_raw$error_models is a data.frame with column $models (list column) + gamlam_vals <- sapply(cycles_raw$error_models$models, function(models) { + sapply(models, function(m) { + if (is.list(m) && !is.null(names(m))) { + # m is e.g. list(Additive = list(lambda = ..., poly = ...)) + model_type <- names(m)[1] + lam <- m[[model_type]]$lambda + if (is.list(lam)) lam[[1]] else lam + } else { + NA + } + }) + }) + # Extract per-parameter mean/sd/median from theta in each cycle + par_names <- json$settings$parameters$parameters$name + n_params <- length(par_names) + # cycles_raw$theta is a list column of matrices [nspp_i x npar] + cycle_stats <- lapply(cycles_raw$theta, function(theta_mat) { + # theta_mat is already a matrix after jsonlite simplification + if (is.null(theta_mat) || (is.matrix(theta_mat) && nrow(theta_mat) == 0)) return(NULL) + if (!is.matrix(theta_mat)) theta_mat <- matrix(theta_mat, ncol = n_params) + stats <- list() + for (j in seq_len(n_params)) { + vals <- theta_mat[, j] + stats[[paste0(par_names[j], ".mean")]] <- mean(vals) + stats[[paste0(par_names[j], ".sd")]] <- sd(vals) + stats[[paste0(par_names[j], ".median")]] <- median(vals) + } + as.data.frame(stats) + }) + cycle_stats_df <- dplyr::bind_rows(cycle_stats) + raw <- dplyr::bind_cols(raw, cycle_stats_df) + # Add gamlam columns + if (is.matrix(gamlam_vals)) { + for (k in seq_len(nrow(gamlam_vals))) { + raw[[paste0("gamlam.", k - 1)]] <- gamlam_vals[k, ] + } + } else { + raw[["gamlam.0"]] <- gamlam_vals + } + if (nrow(raw) == 0) { raw <- data.frame(cycle = 0, status = "Posterior") - write.csv(raw, file.path(path, "cycles.csv"), row.names = FALSE) } - } else if (inherits(data, "PM_cycle") & !is.null(data$data)) { # file not there, and already PM_cycle + } else if (inherits(data, "PM_cycle") & !is.null(data$data)) { class(data$data) <- c("PM_cycle_data", "list") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate cycle information.", - "i" = "{.file {file.path(path, 'cycles.csv')}} does not exist, and result does not have valid {.code PM_cycle} object." + "i" = "No JSON cyclelog and no valid {.code PM_cycle} object." )) return(NULL) } - - if (file.exists(file.path(path, "pred.csv"))) { - op_raw <- readr::read_csv(file = file.path(path, "pred.csv"), - col_types = list( - time = readr::col_double(), - outeq = readr::col_integer(), - block = readr::col_integer(), - obs = readr::col_double(), - cens = readr::col_character(), - pop_mean = readr::col_double(), - pop_median = readr::col_double(), - post_mean = readr::col_double(), - post_median = readr::col_double() - ), show_col_types = FALSE) %>% filter(!is.na(obs)) - } else if (inherits(data, "PM_cycle")) { # file not there, and already PM_op + # --- Obtain predictions data (for AIC/BIC n_subjects) --- + if (!is.null(json) && !is.null(json$predictions)) { + op_raw <- tibble::as_tibble(json$predictions$predictions) %>% filter(!is.na(obs)) + } else if (inherits(data, "PM_cycle")) { class(data$data) <- c("PM_cycle_data", "list") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate cycle information.", - "i" = "{.file {file.path(path, 'pred.csv')}} does not exist, and result does not have valid {.code PM_cycle} object." + "i" = "No JSON predictions and no valid {.code PM_cycle} object." )) return(NULL) } - - if (file.exists(file.path(path, "settings.json"))) { - config <- jsonlite::fromJSON(file.path(path, "settings.json")) - } else if (inherits(data, "PM_cycle") & !is.null(data$data)) { # file not there, and already PM_op + # --- Obtain settings/config --- + if (!is.null(json) && !is.null(json$settings)) { + config <- json$settings + } else if (inherits(data, "PM_cycle") & !is.null(data$data)) { class(data$data) <- c("PM_cycle_data", "list") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate cycle information.", - "i" = "{.file {file.path(path, 'settings.json')}} does not exist, and result does not have valid {.code PM_cycle} object." + "i" = "No JSON settings and no valid {.code PM_cycle} object." )) return(NULL) } diff --git a/R/PM_final.R b/R/PM_final.R index b37c778af..bb277ccfc 100755 --- a/R/PM_final.R +++ b/R/PM_final.R @@ -80,10 +80,10 @@ PM_final <- R6::R6Class( #' Creation of new `PM_final` object is automatic and not generally necessary #' for the user to do. #' @param PMdata include `r template("PMdata")`. - #' @param path include `r template("path")`. + #' @param json A parsed JSON list from `result.json`, as read by [PM_parse]. #' @param ... Not currently used. - initialize = function(PMdata = NULL, path = ".", ...) { - self$data <- private$make(PMdata, path) + initialize = function(PMdata = NULL, json = NULL, ...) { + self$data <- private$make(PMdata, json) class(self) <- c(c("NPAG", "IT2B")[1 + as.numeric(is.null(self$popPoints))], class(self)) }, #' @description @@ -230,42 +230,64 @@ PM_final <- R6::R6Class( } ), # end active private = list( - make = function(data, path) { - if (file.exists(file.path(path, "theta.csv"))) { - theta <- readr::read_csv(file = file.path(path, "theta.csv"), show_col_types = FALSE) - } else if (inherits(data, "PM_final") & !is.null(data$data)) { # file not there, and already PM_final + make = function(data, json = NULL) { + # --- Obtain theta --- + if (!is.null(json) && !is.null(json$theta)) { + par_names <- json$settings$parameters$parameters$name + # json$theta is already a matrix [nspp x npar] after jsonlite simplification + theta_mat <- json$theta + colnames(theta_mat) <- par_names + theta <- tibble::as_tibble(theta_mat) + theta$prob <- json$w + } else if (inherits(data, "PM_final") & !is.null(data$data)) { class(data$data) <- c("PM_final_data", "list") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate final cycle information.", - "i" = "{.file {file.path(path, 'theta.csv')}} does not exist, and result does not have valid {.code PM_final} object." + "i" = "No JSON theta and no valid {.code PM_final} object." )) return(NULL) } - if (file.exists(file.path(path, "posterior.csv"))) { - post <- readr::read_csv(file = file.path(path, "posterior.csv"), show_col_types = FALSE) - } else if (inherits(data, "PM_final") & !is.null(data$data)) { # file not there, and already PM_final + # --- Obtain posterior --- + if (!is.null(json) && !is.null(json$posterior)) { + par_names <- json$settings$parameters$parameters$name + # json$posterior is a matrix [nsubjects x nspp] after jsonlite simplification + # rows = subjects, columns = support points (probabilities) + # json$data$subjects is a data.frame with column $id + subject_ids <- json$data$subjects$id + post_list <- lapply(seq_len(nrow(json$posterior)), function(i) { + probs <- json$posterior[i, ] + df <- theta[, par_names, drop = FALSE] + df$prob <- probs + df$id <- subject_ids[i] + df$point <- seq_len(length(probs)) + df + }) + post <- dplyr::bind_rows(post_list) %>% + dplyr::relocate(id, point, dplyr::everything()) + } else if (inherits(data, "PM_final") & !is.null(data$data)) { class(data$data) <- c("PM_final_data", "data.frame") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate final cycle information.", - "i" = "{.file {file.path(path, 'posterior.csv')}} does not exist, and result does not have valid {.code PM_final} object." + "i" = "No JSON posterior and no valid {.code PM_final} object." )) return(NULL) } - if (file.exists(file.path(path, "settings.json"))) { - config <- jsonlite::fromJSON(file.path(path, "settings.json")) - } else if (inherits(data, "PM_final")) { # file not there, and already PM_final + # --- Obtain settings/config --- + if (!is.null(json) && !is.null(json$settings)) { + config <- json$settings + } else if (inherits(data, "PM_final")) { class(data$data) <- c("PM_final_data", "data.frame") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate final cycle information.", - "i" = "{.file {file.path(path, 'settings.json')}} does not exist, and result does not have valid {.code PM_final} object." + "i" = "No JSON settings and no valid {.code PM_final} object." )) return(NULL) } diff --git a/R/PM_op.R b/R/PM_op.R index 654a43345..820ca0f19 100755 --- a/R/PM_op.R +++ b/R/PM_op.R @@ -74,10 +74,10 @@ PM_op <- R6::R6Class( #' Creation of new `PM_op` object is automatic at the end of a run and not generally necessary #' for the user to do. #' @param PMdata include `r template("PMdata")`. - #' @param path include `r template("path")`. + #' @param json A parsed JSON list from `result.json`, as read by [PM_parse]. #' @param ... Not currently used. - initialize = function(PMdata = NULL, path = ".", ...) { - op <- private$make(PMdata, path) + initialize = function(PMdata = NULL, json = NULL, ...) { + op <- private$make(PMdata, json) self$data <- op if (length(op) > 1) { # all the objects were made self$id <- op$id @@ -128,55 +128,51 @@ PM_op <- R6::R6Class( } ), # end public private = list( - make = function(data, path) { - if (file.exists(file.path(path, "pred.csv"))) { - op_raw <- readr::read_csv(file = file.path(path, "pred.csv"), - col_types = list( - time = readr::col_double(), - outeq = readr::col_integer(), - block = readr::col_integer(), - obs = readr::col_double(), - cens = readr::col_character(), - pop_mean = readr::col_double(), - pop_median = readr::col_double(), - post_mean = readr::col_double(), - post_median = readr::col_double() - ), show_col_types = FALSE) %>% filter(!is.na(obs)) - - if(!"cens" %in% names(op_raw)){ - op_raw <- op_raw %>% mutate(cens = "none") # if cens column missing, assume all observed - } - - - } else if (inherits(data, "PM_op") & !is.null(data$data)) { # file not there, and already PM_op + make = function(data, json = NULL) { + # --- Obtain predictions data --- + if (!is.null(json) && !is.null(json$predictions)) { + op_raw <- tibble::as_tibble(json$predictions$predictions) %>% filter(!is.na(obs)) + if (!"cens" %in% names(op_raw)) { + op_raw <- op_raw %>% mutate(cens = "none") + } + } else if (inherits(data, "PM_op") & !is.null(data$data)) { if(!"cens" %in% names(data$data)){ - data$data <- data$data %>% mutate(cens = "none") # if cens column missing, assume all observed + data$data <- data$data %>% mutate(cens = "none") } class(data$data) <- c("PM_op_data", "data.frame") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate obs-pred information.", - "i" = "{.file {file.path(path, 'pred.csv')}} does not exist, and result does not have valid {.code PM_op} object ." + "i" = "No JSON predictions and no valid {.code PM_op} object." )) return(NULL) } - - - if (file.exists(file.path(path, "settings.json"))) { - config <- jsonlite::fromJSON(file.path(path, "settings.json")) - } else if (inherits(data, "PM_op")) { # file not there, and already PM_op + # --- Obtain settings/config --- + if (!is.null(json) && !is.null(json$settings)) { + config <- json$settings + } else if (inherits(data, "PM_op")) { class(data$data) <- c("PM_op_data", "data.frame") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate obs-pred information.", - "i" = "{.file {file.path(path, 'settings.json')}} does not exist, and result does not have valid {.code PM_op} object." + "i" = "No JSON settings and no valid {.code PM_op} object." )) return(NULL) } - poly <- map(config$errormodels$models, \(x) x %>% pluck("poly")) %>% bind_rows() + # config$errormodels$models is a list: each element is either + # list(Additive = list(lambda=..., poly=list(c0=,c1=,c2=,c3=))) or "None" + poly <- map(config$errormodels$models, function(m) { + if (is.list(m)) { + model_type <- names(m)[1] + p <- m[[model_type]]$poly + if (!is.null(p)) as.data.frame(p) else data.frame(c0 = 0, c1 = 0, c2 = 0, c3 = 0) + } else { + data.frame(c0 = 0, c1 = 0, c2 = 0, c3 = 0) + } + }) %>% bind_rows() op <- op_raw %>% # left_join(pred_raw, by = c("id", "time", "outeq")) %>% pivot_longer(cols = c(pop_mean, pop_median, post_mean, post_median)) %>% diff --git a/R/PM_parse.R b/R/PM_parse.R index 5b437d1c2..90a73ae8d 100755 --- a/R/PM_parse.R +++ b/R/PM_parse.R @@ -7,8 +7,11 @@ #' #' A flexible parser for Pmetrics output #' @details -#' Currently written for the Rust implementation of NPAG -#' @param path The directory containing the output from the Rust-implementation of NPAG +#' Currently written for the Rust implementation of NPAG. +#' Reads a single `result.json` file and passes the parsed JSON +#' to each component constructor. +#' @param path The directory containing the `result.json` output from the Rust-implementation of NPAG +#' @param result_file The name of the result JSON file. Default is "result.json". #' @param fit The relative path to a "fit.rds" file, which is normal output after a fit containing the data and model used. #' @param write If `TRUE` (default), saves the output as "PMout.Rdata" in the specified path. #' @return The output of `PM_parse` is a list containing the following elements @@ -22,7 +25,7 @@ #' @export #' @keywords internal -PM_parse <- function(path = ".", fit = "fit.rds", write = TRUE) { +PM_parse <- function(path = ".", result_file = "result.json", fit = "fit.rds", write = TRUE) { if (is.character(fit) && file.exists(file.path(path, "../inputs", fit))) { # fit is a character string pointing to a file, load it @@ -32,87 +35,86 @@ PM_parse <- function(path = ".", fit = "fit.rds", write = TRUE) { fit_object <- NULL } - if (!dir.exists(path)) { cli::cli_abort(c("x" = "The directory {.path {path}} does not exist.")) -} + } -# assumes pred.csv and settings.json are in wd -op <- rlang::try_fetch(PM_op$new(path = path), -error = function(e) { - cli::cli_warn("Unable to create {.cls PM_op} object", parent = e) - return(NULL) -} -) + # Read the single result JSON file + result_path <- file.path(path, result_file) + if (!file.exists(result_path)) { + cli::cli_abort(c("x" = "The result file {.file {result_path}} does not exist.")) + } + result_json <- jsonlite::fromJSON( + suppressWarnings(readLines(result_path, warn = FALSE)), + simplifyVector = TRUE, + simplifyDataFrame = TRUE + ) -# assumes theta.csv and posterior.csv are in wd -final <- rlang::try_fetch(PM_final$new(path = path), -error = function(e) { - cli::cli_warn("Unable to create {.cls PM_final} object", parent = e) - return(NULL) -} -) + # Pass parsed JSON to each constructor + op <- rlang::try_fetch(PM_op$new(json = result_json), + error = function(e) { + cli::cli_warn("Unable to create {.cls PM_op} object", parent = e) + return(NULL) + } + ) -# assumes cycles.csv, and settings.json are in wd -cycle <- rlang::try_fetch(PM_cycle$new(path = path), -error = function(e) { - cli::cli_warn("Unable to create {.cls PM_cycle} object", parent = e) - return(NULL) -} -) + final <- rlang::try_fetch(PM_final$new(json = result_json), + error = function(e) { + cli::cli_warn("Unable to create {.cls PM_final} object", parent = e) + return(NULL) + } + ) -# assumes pred.csv is in wd -pop <- rlang::try_fetch(PM_pop$new(path = path), -error = function(e) { - cli::cli_warn("Unable to create {.cls PM_pop} object", parent = e) - return(NULL) -} -) + cycle <- rlang::try_fetch(PM_cycle$new(json = result_json), + error = function(e) { + cli::cli_warn("Unable to create {.cls PM_cycle} object", parent = e) + return(NULL) + } + ) -# assumes pred.csv is in wd -post <- rlang::try_fetch(PM_post$new(path = path), -error = function(e) { - cli::cli_warn("Unable to create {.cls PM_post} object", parent = e) - return(NULL) -} -) + pop <- rlang::try_fetch(PM_pop$new(json = result_json), + error = function(e) { + cli::cli_warn("Unable to create {.cls PM_pop} object", parent = e) + return(NULL) + } + ) -cov <- rlang::try_fetch(PM_cov$new(path = path), -error = function(e) { - cli::cli_warn("Unable to create {.cls PM_cov} object", parent = e) - return(NULL) -} -) + post <- rlang::try_fetch(PM_post$new(json = result_json), + error = function(e) { + cli::cli_warn("Unable to create {.cls PM_post} object", parent = e) + return(NULL) + } + ) -core <- list( - data = fit_object$data, - model = fit_object$model, - op = op, - cov = cov, - post = post, - pop = pop, - cycle = cycle, - final = final, - backend = "rust", - algorithm = "NPAG", - numeqt = 1, - converge = cycle$data$converged, - config = rlang::try_fetch(jsonlite::fromJSON(suppressWarnings(readLines(file.path(path, "settings.json"), warn = FALSE))), - sys = as.list(Sys.info()) %>% keep(names(.) %in% c("sysname", "machine")) %>% paste(collapse = " "), - - error = function(e) { - cli::cli_warn(c("!" = "Unable to read {.file {file.path(path, 'settings.json')}}")) - return(NULL) - } -) -) + cov <- rlang::try_fetch(PM_cov$new(json = result_json), + error = function(e) { + cli::cli_warn("Unable to create {.cls PM_cov} object", parent = e) + return(NULL) + } + ) -class(core) <- "PM_result" + core <- list( + data = fit_object$data, + model = fit_object$model, + op = op, + cov = cov, + post = post, + pop = pop, + cycle = cycle, + final = final, + backend = "rust", + algorithm = "NPAG", + numeqt = 1, + converge = cycle$data$converged, + config = result_json$settings, + sys = as.list(Sys.info()) %>% keep(names(.) %in% c("sysname", "machine")) %>% paste(collapse = " ") + ) + class(core) <- "PM_result" -if (write) { - save(core, file = file.path(path, "PMout.Rdata")) -} + if (write) { + save(core, file = file.path(path, "PMout.Rdata")) + } -return(invisible(core)) + return(invisible(core)) } diff --git a/R/PM_pop.R b/R/PM_pop.R index 225598359..69988221e 100755 --- a/R/PM_pop.R +++ b/R/PM_pop.R @@ -54,10 +54,10 @@ PM_pop <- R6::R6Class( #' Creation of new `PM_pop` object is automatic and not generally necessary #' for the user to do. #' @param PMdata include `r template("PMdata")`. - #' @param path include `r template("path")`. + #' @param json A parsed JSON list from `result.json`, as read by [PM_parse]. #' @param ... Not currently used. - initialize = function(PMdata = NULL, path = ".", ...) { - self$data <- private$make(PMdata, path) + initialize = function(PMdata = NULL, json = NULL, ...) { + self$data <- private$make(PMdata, json) }, #' @description #' Plot method @@ -91,27 +91,17 @@ PM_pop <- R6::R6Class( } ), # end public private = list( - make = function(data, path) { - if (file.exists(file.path(path, "pred.csv"))) { - op_raw <- readr::read_csv(file = file.path(path, "pred.csv"), - col_types = list( - time = readr::col_double(), - outeq = readr::col_integer(), - block = readr::col_integer(), - obs = readr::col_double(), - cens = readr::col_character(), - pop_mean = readr::col_double(), - pop_median = readr::col_double(), - post_mean = readr::col_double(), - post_median = readr::col_double() - ), show_col_types = FALSE) - } else if (inherits(data, "PM_pop") & !is.null(data$data)) { # file not there, and already PM_pop + make = function(data, json = NULL) { + # --- Obtain predictions data --- + if (!is.null(json) && !is.null(json$predictions)) { + op_raw <- tibble::as_tibble(json$predictions$predictions) + } else if (inherits(data, "PM_pop") & !is.null(data$data)) { class(data$data) <- c("PM_pop_data", "data.frame") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate pop pred information.", - "i" = "{.file {file.path(path, 'pred.csv')}} does not exist, and result does not have valid {.code PM_pop} object." + "i" = "No JSON predictions and no valid {.code PM_pop} object." )) return(NULL) } diff --git a/R/PM_post.R b/R/PM_post.R index 46cd9d722..5c90605e6 100755 --- a/R/PM_post.R +++ b/R/PM_post.R @@ -55,10 +55,10 @@ PM_post <- R6::R6Class( #' Creation of new `PM_post` object is automatic and not generally necessary #' for the user to do. #' @param PMdata include `r template("PMdata")`. - #' @param path include `r template("path")`. + #' @param json A parsed JSON list from `result.json`, as read by [PM_parse]. #' @param ... Not currently used. - initialize = function(PMdata = NULL, path = ".", ...) { - self$data <- private$make(PMdata, path) + initialize = function(PMdata = NULL, json = NULL, ...) { + self$data <- private$make(PMdata, json) }, #' @description #' Plot method @@ -92,27 +92,17 @@ PM_post <- R6::R6Class( } ), # end public private = list( - make = function(data, path) { - if (file.exists(file.path(path, "pred.csv"))) { - op_raw <- readr::read_csv(file = file.path(path, "pred.csv"), - col_types = list( - time = readr::col_double(), - outeq = readr::col_integer(), - block = readr::col_integer(), - obs = readr::col_double(), - cens = readr::col_character(), - pop_mean = readr::col_double(), - pop_median = readr::col_double(), - post_mean = readr::col_double(), - post_median = readr::col_double() - ), show_col_types = FALSE) - } else if (inherits(data, "PM_post") & !is.null(data$data)) { # file not there, and already PM_post + make = function(data, json = NULL) { + # --- Obtain predictions data --- + if (!is.null(json) && !is.null(json$predictions)) { + op_raw <- tibble::as_tibble(json$predictions$predictions) + } else if (inherits(data, "PM_post") & !is.null(data$data)) { class(data$data) <- c("PM_post_data", "data.frame") return(data$data) } else { cli::cli_warn(c( "!" = "Unable to generate post pred information.", - "i" = "{.file {file.path(path, 'pred.csv')}} does not exist, and result does not have valid {.code PM_post} object." + "i" = "No JSON predictions and no valid {.code PM_post} object." )) return(NULL) } diff --git a/man/PM_cov.Rd b/man/PM_cov.Rd index 62fc5a492..54a908d5b 100755 --- a/man/PM_cov.Rd +++ b/man/PM_cov.Rd @@ -69,7 +69,7 @@ parameter means and medians \subsection{Method \code{new()}}{ Create new object populated with covariate-parameter information \subsection{Usage}{ -\if{html}{\out{

}}\preformatted{PM_cov$new(PMdata = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_cov$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -78,8 +78,10 @@ Create new object populated with covariate-parameter information \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} + \item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -.} +. Deprecated in favour of \code{json}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_cycle.Rd b/man/PM_cycle.Rd index 41f82a34d..c695d2cd0 100755 --- a/man/PM_cycle.Rd +++ b/man/PM_cycle.Rd @@ -87,7 +87,7 @@ at each cycle, normalized to initial standard deviation} \subsection{Method \code{new()}}{ Create new object populated with cycle information \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_cycle$new(PMdata = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_cycle$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -96,8 +96,10 @@ Create new object populated with cycle information \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} + \item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -.} +. Deprecated in favour of \code{json}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_final.Rd b/man/PM_final.Rd index 2737b57e9..768ec3bd1 100755 --- a/man/PM_final.Rd +++ b/man/PM_final.Rd @@ -180,7 +180,7 @@ with shrinkage to assess the information content of the data.} \subsection{Method \code{new()}}{ Create new object populated with final cycle information \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_final$new(PMdata = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_final$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -189,8 +189,10 @@ Create new object populated with final cycle information \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} + \item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -.} +. Deprecated in favour of \code{json}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_op.Rd b/man/PM_op.Rd index e8d346815..648d7aa77 100755 --- a/man/PM_op.Rd +++ b/man/PM_op.Rd @@ -85,7 +85,7 @@ or individual predictions based on Bayesian posterior parameter value distributi \subsection{Method \code{new()}}{ Create new object populated with observed vs. predicted data \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_op$new(PMdata = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_op$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -94,8 +94,10 @@ Create new object populated with observed vs. predicted data \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} + \item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -.} +. Deprecated in favour of \code{json}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_parse.Rd b/man/PM_parse.Rd index d5922d719..ee9bdfd50 100644 --- a/man/PM_parse.Rd +++ b/man/PM_parse.Rd @@ -4,10 +4,17 @@ \alias{PM_parse} \title{Parse Pmetrics output} \usage{ -PM_parse(path = ".", fit = "fit.rds", write = TRUE) +PM_parse( + path = ".", + result_file = "result.json", + fit = "fit.rds", + write = TRUE +) } \arguments{ -\item{path}{The directory containing the output from the Rust-implementation of NPAG} +\item{path}{The directory containing the \code{result.json} output from the Rust-implementation of NPAG} + +\item{result_file}{The name of the result JSON file. Default is "result.json".} \item{fit}{The relative path to a "fit.rds" file, which is normal output after a fit containing the data and model used.} @@ -30,7 +37,9 @@ The output of \code{PM_parse} is a list containing the following elements A flexible parser for Pmetrics output } \details{ -Currently written for the Rust implementation of NPAG +Currently written for the Rust implementation of NPAG. +Reads a single \code{result.json} file and passes the parsed JSON +to each component constructor. } \author{ Michael Neely and Markus Hovd diff --git a/man/PM_pop.Rd b/man/PM_pop.Rd index 1473b3f9d..a5e613d89 100755 --- a/man/PM_pop.Rd +++ b/man/PM_pop.Rd @@ -68,7 +68,7 @@ Michael Neely, Julian Otalvaro Create new object populated with population predicted data at regular, frequent intervals \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_pop$new(PMdata = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_pop$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -77,8 +77,10 @@ regular, frequent intervals \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} + \item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -.} +. Deprecated in favour of \code{json}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_post.Rd b/man/PM_post.Rd index 0bfe4f85f..c70e7f268 100755 --- a/man/PM_post.Rd +++ b/man/PM_post.Rd @@ -68,7 +68,7 @@ Michael Neely, Julian Otalvaro Create new object populated with Bayesian posterior predicted data at regular, frequent intervals \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_post$new(PMdata = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_post$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -77,8 +77,10 @@ regular, frequent intervals \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} + \item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -.} +. Deprecated in favour of \code{json}.} \item{\code{...}}{Not currently used.} } diff --git a/result.json b/result.json new file mode 100644 index 000000000..41beeecaa --- /dev/null +++ b/result.json @@ -0,0 +1,186729 @@ +{ + "data": { + "subjects": [ + { + "id": "1", + "occasions": [ + { + "events": [ + { + "Infusion": { + "time": -48.0, + "amount": 500.0, + "input": 0, + "duration": 0.5, + "occasion": 0 + } + }, + { + "Infusion": { + "time": 0.0, + "amount": 500.0, + "input": 0, + "duration": 0.5, + "occasion": 0 + } + }, + { + "Observation": { + "time": 0.5, + "value": 3.337169, + "outeq": 0, + "errorpoly": { + "c0": 0.0, + "c1": 0.1, + "c2": 0.0, + "c3": 0.0 + }, + "occasion": 0, + "censoring": "none" + } + }, + { + "Observation": { + "time": 1.0, + "value": 3.475056, + "outeq": 0, + "errorpoly": { + "c0": 0.0, + "c1": 0.1, + "c2": 0.0, + "c3": 0.0 + }, + "occasion": 0, + "censoring": "none" + } + }, + { + "Observation": { + "time": 2.0, + "value": 2.621165, + "outeq": 0, + 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end of file From ea933e9dd8f0bf20bf62e69aa89f0fd1e0453c64 Mon Sep 17 00:00:00 2001 From: Markus Date: Sun, 8 Feb 2026 14:32:39 +0100 Subject: [PATCH 2/3] feat: Handle covariates from JSON --- R/PM_cov.R | 85 +++++++++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 77 insertions(+), 8 deletions(-) diff --git a/R/PM_cov.R b/R/PM_cov.R index ec268d547..cdd2ce2b0 100755 --- a/R/PM_cov.R +++ b/R/PM_cov.R @@ -128,15 +128,84 @@ PM_cov <- R6::R6Class( } # --- Obtain covariates data --- - # TODO: Extract covariates from json$data$subjects when available if (!is.null(json) && !is.null(json$data$subjects)) { - # Placeholder: covariates extraction from JSON not yet implemented - # Fall back to warning for now - cli::cli_warn(c( - "!" = "Covariate extraction from JSON not yet implemented.", - "i" = "PM_cov requires covariate data to be available in the JSON." - )) - return(NULL) + subjects <- json$data$subjects + n_subj <- nrow(subjects) + cov_list <- vector("list", n_subj * 50L) + list_idx <- 0L + + for (i in seq_len(n_subj)) { + subj_id <- subjects$id[i] + occ_df <- subjects$occasions[[i]] + n_occ <- nrow(occ_df) + + for (j in seq_len(n_occ)) { + block <- occ_df$index[j] + covs_inner <- occ_df[["covariates"]][["covariates"]] + cov_names <- names(covs_inner) + if (length(cov_names) == 0) next + + # Collect segments per covariate for this occasion + seg_list <- setNames(vector("list", length(cov_names)), cov_names) + all_from <- numeric(0) + for (cn in cov_names) { + segs <- covs_inner[[cn]][["segments"]][[j]] + seg_list[[cn]] <- segs + all_from <- c(all_from, segs[["from"]]) + } + all_times <- sort(unique(all_from)) + + # Evaluate covariates at each unique segment start time + for (t_val in all_times) { + row_data <- list(id = subj_id, time = t_val, block = block) + for (cn in cov_names) { + segs <- seg_list[[cn]] + n_seg <- nrow(segs) + value <- NA_real_ + for (k in seq_len(n_seg)) { + seg_from <- segs[["from"]][k] + seg_to <- segs[["to"]][k] + in_seg <- (t_val >= seg_from) && + (is.na(seg_to) || t_val < seg_to) + # Match at or beyond the last segment start + if (!in_seg && k == n_seg && t_val >= seg_from) { + in_seg <- TRUE + } + if (in_seg) { + lin <- segs[["method"]][["Linear"]] + cf <- segs[["method"]][["CarryForward"]] + if (!is.null(lin) && !is.na(lin[["intercept"]][k])) { + value <- lin[["intercept"]][k] + + lin[["slope"]][k] * (t_val - seg_from) + } else if (!is.null(cf) && !is.na(cf[["value"]][k])) { + value <- cf[["value"]][k] + } + break + } + } + row_data[[cn]] <- value + } + list_idx <- list_idx + 1L + cov_list[[list_idx]] <- tibble::as_tibble(row_data) + } + } + } + + if (list_idx > 0L) { + covs <- dplyr::bind_rows(cov_list[seq_len(list_idx)]) + # Deduplicate: keep one row per unique covariate combination + # within each subject/block, retaining the earliest time + covs <- covs %>% + dplyr::group_by(id, block) %>% + dplyr::distinct( + dplyr::across(dplyr::all_of(cov_names)), + .keep_all = TRUE + ) %>% + dplyr::ungroup() + } else { + cli::cli_warn(c("!" = "No covariates found in JSON data.")) + return(NULL) + } } else if (inherits(data, "PM_cov")) { class(data$data) <- c("PM_cov_data", "data.frame") return(data$data) From dbb3cd520f6192716b35c39a4074ddffb44b19e2 Mon Sep 17 00:00:00 2001 From: Markus <66058642+mhovd@users.noreply.github.com> Date: Mon, 9 Feb 2026 08:39:45 +0100 Subject: [PATCH 3/3] docs: Update docs --- man/PM_cov.Rd | 7 ++----- man/PM_cycle.Rd | 7 ++----- man/PM_final.Rd | 7 ++----- man/PM_op.Rd | 7 ++----- man/PM_pop.Rd | 7 ++----- man/PM_post.Rd | 7 ++----- 6 files changed, 12 insertions(+), 30 deletions(-) diff --git a/man/PM_cov.Rd b/man/PM_cov.Rd index 54a908d5b..69fa8cb87 100755 --- a/man/PM_cov.Rd +++ b/man/PM_cov.Rd @@ -69,7 +69,7 @@ parameter means and medians \subsection{Method \code{new()}}{ Create new object populated with covariate-parameter information \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_cov$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_cov$new(PMdata = NULL, json = NULL, ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -78,10 +78,7 @@ Create new object populated with covariate-parameter information \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} -\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} - -\item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -. Deprecated in favour of \code{json}.} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_cycle.Rd b/man/PM_cycle.Rd index c695d2cd0..b41f3e2c4 100755 --- a/man/PM_cycle.Rd +++ b/man/PM_cycle.Rd @@ -87,7 +87,7 @@ at each cycle, normalized to initial standard deviation} \subsection{Method \code{new()}}{ Create new object populated with cycle information \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_cycle$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_cycle$new(PMdata = NULL, json = NULL, ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -96,10 +96,7 @@ Create new object populated with cycle information \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} -\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} - -\item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -. Deprecated in favour of \code{json}.} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_final.Rd b/man/PM_final.Rd index 768ec3bd1..10ee45714 100755 --- a/man/PM_final.Rd +++ b/man/PM_final.Rd @@ -180,7 +180,7 @@ with shrinkage to assess the information content of the data.} \subsection{Method \code{new()}}{ Create new object populated with final cycle information \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_final$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_final$new(PMdata = NULL, json = NULL, ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -189,10 +189,7 @@ Create new object populated with final cycle information \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} -\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} - -\item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -. Deprecated in favour of \code{json}.} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_op.Rd b/man/PM_op.Rd index 648d7aa77..277e6fdb8 100755 --- a/man/PM_op.Rd +++ b/man/PM_op.Rd @@ -85,7 +85,7 @@ or individual predictions based on Bayesian posterior parameter value distributi \subsection{Method \code{new()}}{ Create new object populated with observed vs. predicted data \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_op$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_op$new(PMdata = NULL, json = NULL, ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -94,10 +94,7 @@ Create new object populated with observed vs. predicted data \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} -\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} - -\item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -. Deprecated in favour of \code{json}.} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_pop.Rd b/man/PM_pop.Rd index a5e613d89..42266ca88 100755 --- a/man/PM_pop.Rd +++ b/man/PM_pop.Rd @@ -68,7 +68,7 @@ Michael Neely, Julian Otalvaro Create new object populated with population predicted data at regular, frequent intervals \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_pop$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_pop$new(PMdata = NULL, json = NULL, ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -77,10 +77,7 @@ regular, frequent intervals \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} -\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} - -\item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -. Deprecated in favour of \code{json}.} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}.} \item{\code{...}}{Not currently used.} } diff --git a/man/PM_post.Rd b/man/PM_post.Rd index c70e7f268..9eacbc38c 100755 --- a/man/PM_post.Rd +++ b/man/PM_post.Rd @@ -68,7 +68,7 @@ Michael Neely, Julian Otalvaro Create new object populated with Bayesian posterior predicted data at regular, frequent intervals \subsection{Usage}{ -\if{html}{\out{
}}\preformatted{PM_post$new(PMdata = NULL, json = NULL, path = ".", ...)}\if{html}{\out{
}} +\if{html}{\out{
}}\preformatted{PM_post$new(PMdata = NULL, json = NULL, ...)}\if{html}{\out{
}} } \subsection{Arguments}{ @@ -77,10 +77,7 @@ regular, frequent intervals \item{\code{PMdata}}{include Saved, parsed output of prior run, used when source files are not available. .} -\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}. If provided, \code{path} is ignored.} - -\item{\code{path}}{include Path to the folder containing the raw results of the run. Default is the current working directory. -. Deprecated in favour of \code{json}.} +\item{\code{json}}{A parsed JSON list from \code{result.json}, as read by \link{PM_parse}.} \item{\code{...}}{Not currently used.} }