Package: mmabig 3.2-0

mmabig: Multiple Mediation Analysis for Big Data Sets

Used for general multiple mediation analysis with big data sets.

Authors:Qingzhao Yu and Bin Li

mmabig_3.2-0.tar.gz
mmabig_3.2-0.zip(r-4.7)mmabig_3.2-0.zip(r-4.6)mmabig_3.2-0.zip(r-4.5)
mmabig_3.2-0.tgz(r-4.6-any)mmabig_3.2-0.tgz(r-4.5-any)
mmabig_3.2-0.tar.gz(r-4.7-any)mmabig_3.2-0.tar.gz(r-4.6-any)
mmabig_3.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mmabig/json (API)

# Install 'mmabig' in R:

install.packages('mmabig', repos = c('https://qingzhaoyu.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

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

2.18 score 15 scripts 183 downloads 11 exports 81 dependencies

Last updated from:1d30fb4bbf. Checks:9 OK. Indexed: yes.

Target	Result	Time	Files	Syslog
linux-devel-x86_64	OK	169
source / vignettes	OK	387
linux-release-x86_64	OK	158
macos-release-arm64	OK	121
macos-oldrel-arm64	OK	105
windows-devel	OK	126
windows-release	OK	91
windows-oldrel	OK	96
wasm-release	OK	124

Exports:data.org.big joint.effect med.big mma.big plot.mma.big print.med.big print.mma.big print.summary.med_iden.big print.summary.mma.big summary.med_iden.big summary.mma.big

Dependencies:abind backports bitops boot broom car carData caTools cli codetools colorspace cowplot cpp11 Deriv doBy dplyr farver foreach forecast Formula fracdiff gbm generics ggplot2 glmnet glue gplots gtable gtools isoband iterators KernSmooth labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa mma modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 scales shape SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Examples for Big Data Mediation Analysis

Package installation | Data Organization and Identify Potential Moderators/Confounders | One binary/continuous predictor and one binary/continuous outcome | Survival outcome | Multivariate predictors | Multivariate outcomes | Binary predictor and continuous outcome | Combined function for multiple TVE analysis with big data sets | Plots of the fitted mma object from boot.med | References

Rendered fromMMABIGvignette.Rmdusingknitr::rmarkdown

Last update: 2022-05-14
Started: 2019-04-03

Citation

Readme and manuals

Help Manual

Help page	Topics
Mediation Analysis Package for Big Data Sets	mmabig-package
Data Organization and Identify Potential Mediators	data.org.big
Summary of the joint effect of a list of mediators	joint.effect
Mediation Analysis with Binary or Continuous Predictor	med.big
Multiple Mediation Analysis for mediaiton analysis with big data sets	mma.big
Relative effects plot of the fitted mma.big object	plot.mma.big
Print an med.big object	print.med.big
Print a mma.big object	print.mma.big
Summary method for class "med_iden.big".	print.summary.med_iden.big summary.med_iden.big
Summary of an mma.big project	print.summary.mma.big summary.mma.big

Usage by other packages (reverse dependencies)