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1 | 1 |
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2 | | -# o2ools <a href="https://cygei.github.io/o2ools/"><img src="man/figures/logo.png" align="right" height="138" alt="o2ools website" /></a> |
| 2 | +<!-- badges: start --> |
| 3 | + |
| 4 | +[](https://github.com/CyGei/o2ools/actions/workflows/R-CMD-check.yaml) |
| 5 | +[](https://www.codefactor.io/repository/github/cygei/o2ools) |
| 6 | +<!-- badges: end --> |
| 7 | + |
| 8 | +# o2ools <a href="https://cygei.github.io/o2ools/"><img src="man/figures/logo.png" alt="o2ools website" align="right" height="242"/></a> |
3 | 9 |
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4 | 10 | Tools to process the results of |
5 | | -[outbreaker2](https://github.com/reconhub/outbreaker2). |
| 11 | +[`outbreaker2`](https://github.com/reconhub/outbreaker2). |
6 | 12 |
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7 | 13 | ## Installation |
8 | 14 |
|
| 15 | +Install the package from |
| 16 | +[CRAN](https://cran.r-project.org/web/packages/o2ools/index.html): |
| 17 | + |
9 | 18 | ``` r |
10 | | -# install.packages("devtools") |
11 | | -devtools::install_github("CyGei/o2ools") |
| 19 | +install.packages("o2ools") |
12 | 20 | library(o2ools) |
13 | 21 | ``` |
14 | 22 |
|
15 | | -## Documentation |
| 23 | +Or the development version from GitHub: |
| 24 | + |
| 25 | +``` r |
| 26 | +devtools::install_github("cygei/o2ools") |
| 27 | +``` |
| 28 | + |
| 29 | +## Information |
16 | 30 |
|
17 | | -For more information, check the vignettes on its dedicated website: |
18 | | -[o2ools](https://cygei.github.io/o2ools/) |
| 31 | +The inference of transmission chains from genomic, epidemiological and |
| 32 | +contact data is central to outbreak investigations. |
| 33 | +[`outbreaker2`](https://github.com/reconhub/outbreaker2) and other |
| 34 | +popular models use Bayesian inference to reconstruct who infected whom. |
| 35 | +However, the results of these models are difficult to interpret and |
| 36 | +visualise. `o2ools` provides tools to analyse and visualise the results |
| 37 | +of `outbreaker2`. To get started, check the package |
| 38 | +[vignette](https://cygei.github.io/o2ools/articles/o2ools.html). |
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