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EpiForsk: Code Sharing at the Department of Epidemiology Research atStatens Serum Institut

This is a collection of assorted functions and examples collected from various projects. Currently we have functionalities for simplifying overlapping time intervals, Charlson comorbidity score constructors for Danish data, getting frequency for multiple variables, getting standardized output from logistic and log-linear regressions, sibling design linear regression functionalities a method for calculating the confidence intervals for functions of parameters from a GLM, Bayes equivalent for hypothesis testing with asymptotic Bayes factor, and several help functions for generalized random forest analysis using 'grf'.

Version:0.2.0
Depends:R (≥ 4.2)
Imports:broom,cowplot,data.table,dplyr,forcats,ggplot2,glue,grf,gridExtra,Hmisc,MatchIt, methods,nnet,patchwork,policytree,progressr,purrr,rlang,stringr,survey,survival,svyVGAM,tidyr,VGAM
Suggests:cli,CVXR,furrr,future,ggsci,knitr, parallel,rmarkdown,testthat (≥ 3.0.0)
Published:2025-08-20
DOI:10.32614/CRAN.package.EpiForsk
Author:Anders HusbyORCID iD [aut], Anna LaksafossORCID iD [aut], Emilia Myrup ThiessonORCID iD [aut], Kim Daniel JakobsenORCID iD [aut, cre], Mikael AnderssonORCID iD [aut], Klaus RostgaardORCID iD [aut]
Maintainer:Kim Daniel Jakobsen <kija at ssi.dk>
BugReports:https://github.com/Laksafoss/EpiForsk/issues
License:MIT + fileLICENSE
URL:https://github.com/Laksafoss/EpiForsk
NeedsCompilation:no
Materials:README
In views:Epidemiology
CRAN checks:EpiForsk results

Documentation:

Reference manual:EpiForsk.html ,EpiForsk.pdf
Vignettes:Contributing to EpiForsk (source,R code)
Writing Package Functions (source,R code)
Husby's Multi Faceted Forest Plot (source,R code)

Downloads:

Package source: EpiForsk_0.2.0.tar.gz
Windows binaries: r-devel:EpiForsk_0.2.0.zip, r-release:EpiForsk_0.2.0.zip, r-oldrel:EpiForsk_0.2.0.zip
macOS binaries: r-release (arm64):EpiForsk_0.2.0.tgz, r-oldrel (arm64):EpiForsk_0.2.0.tgz, r-release (x86_64):EpiForsk_0.2.0.tgz, r-oldrel (x86_64):EpiForsk_0.2.0.tgz
Old sources: EpiForsk archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=EpiForskto link to this page.


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