epicmodel: Causal Modeling in Epidemiology

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
Author: Felix Forster ORCID iD [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

Documentation:

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)

Downloads:

Package source: epicmodel_0.2.0.tar.gz
Windows binaries: r-devel: epicmodel_0.1.1.zip, r-release: epicmodel_0.1.1.zip, r-oldrel: epicmodel_0.1.1.zip
macOS binaries: r-release (arm64): epicmodel_0.1.1.tgz, r-oldrel (arm64): epicmodel_0.1.1.tgz, r-release (x86_64): epicmodel_0.1.1.tgz, r-oldrel (x86_64): epicmodel_0.1.1.tgz
Old sources: epicmodel archive

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