Package: CMMs 1.0.0

CMMs: Compositional Mediation Model

A compositional mediation model for continuous outcome and binary outcomes to deal with mediators that are compositional data. Lin, Ziqiang et al. (2022) <doi:10.1016/j.jad.2021.12.019>.

Authors:Ziqiang Lin [aut, cre], Jinqun Cheng [aut], Qiaoxuan Lin [aut], Wayne Lawrence [aut], Wangjian Zhang [aut], Yanhui Gao [aut]

CMMs_1.0.0.tar.gz
CMMs_1.0.0.zip(r-4.7-any)CMMs_1.0.0.zip(r-4.6-any)CMMs_1.0.0.zip(r-4.5-any)
CMMs_1.0.0.tgz(r-4.6-any)CMMs_1.0.0.tgz(r-4.5-any)
CMMs_1.0.0.tar.gz(r-4.7-any)CMMs_1.0.0.tar.gz(r-4.6-any)
CMMs_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CMMs/json (API)

# Install 'CMMs' in R:
install.packages('CMMs', repos = c('https://buybnb.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 357 downloads 1 exports 95 dependencies

Last updated from:9e7dbd96de. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK183
source / vignettesOK175
linux-releaseOK178
macos-releaseOK193
macos-oldrelOK209
windows-develOK135
windows-releaseOK90
windows-oldrelOK136
wasm-releaseOK116

Exports:CMMs

Dependencies:ashbitopsbootclasscliclustercolorspacecpp11cvToolsdata.tableDBIDEoptimRdeSolvedplyre1071farverfastDummiesfdafdsFNNforcatsgenericsggplot2gluegtablehdrcdeisobandjsonlitekernlabKernSmoothkslabelinglaekenlatticelifecyclelmtestlocfitmagrittrMASSMatrixmclustmgcvminqamitoolsmulticoolmvtnormNADAnlmennetnumDerivpcaPPperrypillarpkgconfigplsplyrpracmaproxypurrrR6rainbowrangerRColorBrewerRcppRcppArmadilloRcppEigenRCurlreshape2rlangrobCompositionsrobustbaserobustHDrrcovrsvdS7scalesspsparsepcastringistringrsurveysurvivaltibbletidyrtidyselecttruncnormutf8vcdvctrsVIMviridisLitewithrxgboostzCompositionszoo