Error when calculating p_tets and internal, external validation

[ZR14124]

Many thanks for developing the very useful package dynamicLM. We have successfully trained the supermodel using a longdata, but we encountered issues when attempting to generate predictions using predict( ) . Additionally, errors arose during internal and external validation with score( ).

We have attached a Word document containing a reproducible R script and a description of the issues. Notably, while we were able to run the example code from GitHub without errors, we encountered challenges when applying the same approach to our dataset—even after ensuring that variable types and structures matched those in the example

Could you kindly advise on the following:
Are there common pitfalls or data requirements for predict() and score() that we might have overlooked?
Would you need additional details (e.g., sample data, session info) to diagnose the issue?

Best wishes

Q_dynamicLM.docx

[ZR14124]

> supermodel <- dynamic_lm(plmdata, as.formula(formula), "coxph", x = TRUE) 
## Error when make predictions
> p_test <- predict(supermodel, plmdata)
Error in sum(sapply(bet_covars, function(coef_name) { : 
  invalid 'type' (list) of argument

## Error during internal validation
>  scores_in<-score(list("coxph" = supermodel), cause=1, split.method="bootcv", B=5, seed=101)
Error in sum(sapply(bet_covars, function(coef_name) { : 
  invalid 'type' (list) of argument

## Error during external validation 
## clmdata: Large LMdataframe
> scores_ex <- score(list("LM" = supermodel), cause = 1,data = clmdata$data, lms = 5)
Error in sum(sapply(bet_covars, function(coef_name) { : 
  invalid 'type' (list) of argument

[anyafries]

Thanks for sharing your errors!

If you could share a piece of code that is fully reproducible (e.g., I can't see how plmdata was generated) with some sample data (so that I can also run the code) that would be very helpful.

[ZR14124]

Many thanks for your reply！

I have attached the example R code and data as following.

Best wishes！

data.xlsx

Example_LM.docx