Package: bmemLavaan 0.7

bmemLavaan: Mediation Analysis with Missing Data and Non-Normal Data

Methods for mediation analysis with missing data and non-normal data are implemented. For missing data, four methods are available: Listwise deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included to handle missing data. For handling non-normal data, bootstrap and two-stage robust methods can be used. Technical details of the methods can be found in Zhang and Wang (2013, <doi:10.1007/s11336-012-9301-5>), Zhang (2014, <doi:10.3758/s13428-013-0424-0>), and Yuan and Zhang (2012, <doi:10.1007/s11336-012-9282-4>).

Authors:Shuigen Ming [aut], Hong Zhang [aut], Zhiyong Zhang [aut, cre], Lijuan Wang [aut]

bmemLavaan_0.7.tar.gz
bmemLavaan_0.7.zip(r-4.7)bmemLavaan_0.7.zip(r-4.6)bmemLavaan_0.7.zip(r-4.5)
bmemLavaan_0.7.tgz(r-4.6-any)bmemLavaan_0.7.tgz(r-4.5-any)
bmemLavaan_0.7.tar.gz(r-4.7-any)bmemLavaan_0.7.tar.gz(r-4.6-any)
bmemLavaan_0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
bmemLavaan/json (API)

# Install 'bmemLavaan' in R:
install.packages('bmemLavaan', repos = c('https://johnnyzhz.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Math - Parents' education levels and adolescent mathematics achievement of 76 families in 1986

On CRAN:

Conda:

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

2.30 score 1 stars 270 downloads 5 exports 30 dependencies

Last updated from:88c3dc3d3c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK160
source / vignettesOK226
linux-release-x86_64OK167
macos-release-arm64OK153
macos-oldrel-arm64OK166
windows-develOK129
windows-releaseOK125
windows-oldrelOK121
wasm-releaseOK111

Exports:bmempower.bmempower.curvesummary.bmemsummary.power

Dependencies:abindAmeliaarmbootcodaforeignlatticelavaanlme4MASSMatrixmiminqamnormtnlmenloptrnumDerivpbivnormquadprogrbibutilsRcppRcppArmadilloRcppEigenRdpackreformulasrlangrsemsemsnowsnowfall

R package: bmemLavaan vignette

Rendered fromR_package-bmemLavaan_vignette.pdf.asisusingR.rsp::asison Jun 04 2026.

Last update: 2022-04-20
Started: 2022-04-20