Package: mlma 6.3-1

mlma: Multilevel Mediation Analysis

Do multilevel mediation analysis with generalized additive multilevel models. The analysis method is described in Yu and Li (2020), "Third-Variable Effect Analysis with Multilevel Additive Models", PLoS ONE 15(10): e0241072.

Authors:Qingzhao Yu, Bin Li

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mlma/json (API)

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

Peer review:

Datasets:

On CRAN:

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

3.81 score 1 stars 65 scripts 378 downloads 16 mentions 13 exports 67 dependencies

Last updated 1 years agofrom:82840561e8. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winOKNov 22 2024
R-4.5-linuxOKNov 22 2024
R-4.4-winOKNov 22 2024
R-4.4-macOKNov 22 2024
R-4.3-winOKNov 22 2024
R-4.3-macOKNov 22 2024

Exports:boot.mlmadata.orgjoint.effectmlmaplot.mlmaplot.mlma.bootprint.joint.effectprint.mlmaprint.mlma.bootprint.summary.mlmaprint.summary.mlma.bootsummary.mlmasummary.mlma.boot

Dependencies:abindbackportsbdsmatrixbitopsbootbroomcarcarDatacaToolsclicolorspacecowplotcoxmecpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Examples for Multilevel Mediation Analysis

Rendered fromMLMAvignette.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2022-05-16
Started: 2020-05-08