Package: bmemLavaan 0.5
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:
bmemLavaan_0.5.tar.gz
bmemLavaan_0.5.zip(r-4.5)bmemLavaan_0.5.zip(r-4.4)bmemLavaan_0.5.zip(r-4.3)
bmemLavaan_0.5.tgz(r-4.4-any)bmemLavaan_0.5.tgz(r-4.3-any)
bmemLavaan_0.5.tar.gz(r-4.5-noble)bmemLavaan_0.5.tar.gz(r-4.4-noble)
bmemLavaan_0.5.tgz(r-4.4-emscripten)bmemLavaan_0.5.tgz(r-4.3-emscripten)
bmemLavaan.pdf |bmemLavaan.html✨
bmemLavaan/json (API)
# Install 'bmemLavaan' in R: |
install.packages('bmemLavaan', repos = c('https://johnnyzhz.r-universe.dev', 'https://cloud.r-project.org')) |
- Math - Parents' education levels and adolescent mathematics achievement of 76 families in 1986
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:6cd9892923. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 14 2024 |
R-4.5-win | NOTE | Nov 14 2024 |
R-4.5-linux | NOTE | Nov 14 2024 |
R-4.4-win | OK | Nov 14 2024 |
R-4.4-mac | OK | Nov 14 2024 |
R-4.3-win | OK | Nov 14 2024 |
R-4.3-mac | OK | Nov 14 2024 |
Exports:bmempower.bmempower.curvesummary.bmemsummary.power
Dependencies:abindAmeliaarmbootcodaforeignlatticelavaanlme4MASSMatrixmiminqamnormtnlmenloptrnumDerivpbivnormquadprogRcppRcppArmadilloRcppEigenrlangrsemsemsnowsnowfall
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Mediation analysis based on bootstrap | bmem |
Parents' education levels and adolescent mathematics achievement of 76 families in 1986 | Math |
Conducting power analysis | power.bmem |
Generate a power curve | power.curve |
Sumarize the results of function 'bmem' | summary summary.bmem |
Organize the results into a table | summary.power |