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 and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package).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-4.7)intmed_0.1.2.zip(r-4.6)intmed_0.1.2.zip(r-4.5)
intmed_0.1.2.tgz(r-4.6-any)intmed_0.1.2.tgz(r-4.5-any)
intmed_0.1.2.tar.gz(r-4.7-any)intmed_0.1.2.tar.gz(r-4.6-any)
intmed_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
intmed/json (API)
| # Install 'intmed' in R: |
| install.packages('intmed', repos = c('https://ncysur.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8972fc2f45. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 165 | ||
| source / vignettes | OK | 245 | ||
| linux-release-x86_64 | OK | 163 | ||
| macos-release-arm64 | OK | 163 | ||
| macos-oldrel-arm64 | OK | 155 | ||
| windows-devel | OK | 93 | ||
| windows-release | OK | 109 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 127 |
Exports:mediate
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondoParalleldplyrforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
