Package: mma 10.7-1

Qingzhao Yu

mma: Multiple Mediation Analysis

Used for general multiple mediation analysis. The analysis method is described in Yu and Li (2022) (ISBN: 9780367365479) "Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS", published by Chapman and Hall/CRC; and Yu et al.(2017) <doi:10.1016/j.sste.2017.02.001> "Exploring racial disparity in obesity: a mediation analysis considering geo-coded environmental factors", published on Spatial and Spatio-temporal Epidemiology, 21, 13-23.

Authors:Qingzhao Yu and Bin Li

mma_10.7-1.tar.gz
mma_10.7-1.zip(r-4.5)mma_10.7-1.zip(r-4.4)mma_10.7-1.zip(r-4.3)
mma_10.7-1.tgz(r-4.4-any)mma_10.7-1.tgz(r-4.3-any)
mma_10.7-1.tar.gz(r-4.5-noble)mma_10.7-1.tar.gz(r-4.4-noble)
mma_10.7-1.tgz(r-4.4-emscripten)mma_10.7-1.tgz(r-4.3-emscripten)
mma.pdf |mma.html✨
mma/json (API)

# Install 'mma' in R:

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

Datasets:

cgd1 - Cgd1 Data Set
weight_behavior - Weight_Behavior Data Set

On CRAN:

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

3.92 score 1 stars 1 packages 56 scripts 542 downloads 5 mentions 17 exports 66 dependencies

Last updated 1 years agofrom:9649f1a39c. Checks:OK: 7. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Oct 10 2024
R-4.5-win	OK	Oct 10 2024
R-4.5-linux	OK	Oct 10 2024
R-4.4-win	OK	Oct 10 2024
R-4.4-mac	OK	Oct 10 2024
R-4.3-win	OK	Oct 10 2024
R-4.3-mac	OK	Oct 10 2024

Exports:boot.med boot.mod data.org form.interaction med mma moderate plot.med plot.mma plot2.mma print.med print.mma print.summary.med_iden print.summary.mma summary.med_iden summary.mma test.moderation

Dependencies:abind backports bitops boot broom car carData caTools cli colorspace cowplot cpp11 Deriv doBy dplyr fansi farver Formula gbm generics ggplot2 glue gplots gtable gtools isoband KernSmooth labeling lattice lifecycle lme4 magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr munsell nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 RColorBrewer Rcpp RcppEigen rlang scales SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr

Examples for Third-Variable Effect Analysis

Qingzhao Yu & Lin Zhu

Rendered fromMMAvignette.Rmdusingknitr::rmarkdownon Oct 10 2024.

Last update: 2022-05-16
Started: 2019-08-27

Help page	Topics
Mediation Analysis Package	mma-package
Statistical Inference on Mediation Analysis with Continuous or Binary Predictor	boot.med
Statistical Inference on Mediation Analysis with Continuous or Binary Predictor at different level of the moderator	boot.mod
cgd1 Data Set	cgd1
Data Organization and Identify Potential Mediators	data.org
Create interaction terms of predictor(s) and potential moderator(s).	form.interaction
Mediation Analysis with Binary or Continuous Predictor	med
Multiple Mediation Analysis	mma
Calculate and plot the direct effect of the selected exposure variable at each level of the moderator.	moderate
Plot the mediation effect on the fitted med object	plot.med
Relative effects plot of the fitted mma object	plot.mma
Relative effects plot of the fitted mma object with moderator	plot2.mma
Print an med object	print.med
Print a mma object	print.mma
Summary method for class "med_iden".	print.summary.med_iden summary.med_iden
Summary of an mma project	print.summary.mma summary.mma
Test for moderation effects.	test.moderation
Weight_Behavior Data Set	weight_behavior

Package: mma 10.7-1

mma: Multiple Mediation Analysis

Examples for Third-Variable Effect Analysis

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)