The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 0.1.1 |
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: | 2024-02-26 |
DOI: | 10.32614/CRAN.package.EpiForsk |
Author: | Anders Husby [aut], Anna Laksafoss [aut], Emilia Myrup Thiesson [aut], Kim Daniel Jakobsen [aut, cre], Mikael Andersson [aut], Klaus Rostgaard [aut] |
Maintainer: | Kim Daniel Jakobsen <kija at ssi.dk> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | EpiForsk results |
Reference manual: | EpiForsk.pdf |
Vignettes: |
Contributing to EpiForsk Writing Package Functions Husby's Multi Faceted Forest Plot |
Package source: | EpiForsk_0.1.1.tar.gz |
Windows binaries: | r-devel: EpiForsk_0.1.1.zip, r-release: EpiForsk_0.1.1.zip, r-oldrel: EpiForsk_0.1.1.zip |
macOS binaries: | r-release (arm64): EpiForsk_0.1.1.tgz, r-oldrel (arm64): EpiForsk_0.1.1.tgz, r-release (x86_64): EpiForsk_0.1.1.tgz, r-oldrel (x86_64): EpiForsk_0.1.1.tgz |
Old sources: | EpiForsk archive |
Please use the canonical form https://CRAN.R-project.org/package=EpiForsk to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.