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

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bmemLavaan/json (API)

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Last updated 2 years agofrom:6cd9892923. Checks:OK: 5 NOTE: 2. Indexed: yes.

Exports:bmempower.bmempower.curvesummary.bmemsummary.power

Dependencies:abindAmeliaarmbootcodaforeignlatticelavaanlme4MASSMatrixmiminqamnormtnlmenloptrnumDerivpbivnormquadprogRcppRcppArmadilloRcppEigenrlangrsemsemsnowsnowfall