Package: intmed 0.1.2
intmed: Mediation Analysis using Interventional Effects
Implementing the interventional effects for mediation analysis for up to 3 mediators. The methods used are based on VanderWeele, Vansteelandt and Robins (2014) <doi:10.1097/ede.0000000000000034>, Vansteelandt and Daniel (2017) <doi:10.1097/ede.0000000000000596> and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package). Linear regression, logistic regression and Poisson regression are used for continuous, binary and count mediator/outcome variables respectively.
Authors:
intmed_0.1.2.tar.gz
intmed_0.1.2.zip(r-4.5)intmed_0.1.2.zip(r-4.4)intmed_0.1.2.zip(r-4.3)
intmed_0.1.2.tgz(r-4.4-any)intmed_0.1.2.tgz(r-4.3-any)
intmed_0.1.2.tar.gz(r-4.5-noble)intmed_0.1.2.tar.gz(r-4.4-noble)
intmed_0.1.2.tgz(r-4.4-emscripten)intmed_0.1.2.tgz(r-4.3-emscripten)
intmed.pdf |intmed.html✨
intmed/json (API)
NEWS
| # Install 'intmed' in R: |
| install.packages('intmed', repos = c('https://ncysur.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:8972fc2f45. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Exports:mediate
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondoParalleldplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
