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Create causal models for use in epidemiological studies, including sufficient-component cause models as introduced by Rothman (1976) <doi:10.1093/oxfordjournals.aje.a112335>.
Version: | 0.2.0 |
Depends: | R (≥ 3.5.0), magrittr |
Imports: | checkmate, cli, dagitty, DiagrammeR, dplyr, DT, ggplot2, gtools, methods, prompter, purrr, rlang, shiny, shinyalert, shinyjs, shinythemes, spsUtil, stringr, tibble, tidyr |
Suggests: | ggdag, ggforce, ggraph, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-12-11 |
DOI: | 10.32614/CRAN.package.epicmodel |
Author: | Felix Forster [aut, cre, cph] |
Maintainer: | Felix Forster <felix.forster at med.uni-muenchen.de> |
BugReports: | https://github.com/forsterepi/epicmodel/issues |
License: | GPL (≥ 3) |
URL: | https://forsterepi.github.io/epicmodel/, https://github.com/forsterepi/epicmodel |
NeedsCompilation: | no |
Citation: | epicmodel citation info |
Materials: | README NEWS |
CRAN checks: | epicmodel results |
Reference manual: | epicmodel.pdf |
Vignettes: |
epicmodel (source, R code) Glossary (source, R code) Modules (source, R code) SCC Models (source, R code) Steplists (source, R code) |
Package source: | epicmodel_0.2.0.tar.gz |
Windows binaries: | r-devel: epicmodel_0.2.0.zip, r-release: epicmodel_0.1.1.zip, r-oldrel: epicmodel_0.2.0.zip |
macOS binaries: | r-release (arm64): epicmodel_0.2.0.tgz, r-oldrel (arm64): epicmodel_0.2.0.tgz, r-release (x86_64): epicmodel_0.2.0.tgz, r-oldrel (x86_64): epicmodel_0.2.0.tgz |
Old sources: | epicmodel archive |
Please use the canonical form https://CRAN.R-project.org/package=epicmodel 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.
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