Package: bmemLavaan Type: Package Title: Mediation Analysis with Missing Data and Non-Normal Data Version: 0.5 Date: 2022-05-27 Authors@R: c( person("Shuigen", "Ming", role = "aut", email = "msg0@mail.ustc.edu.cn"), person("Hong", "Zhang", role = "aut", email = "zhangh@ustc.edu.cn"), person("Zhiyong", "Zhang", role = c("aut", "cre"), email = "johnnyzhz@gmail.com"), person("Lijuan", "Wang", role = "aut", email = "lwang4@nd.edu")) Depends: R (>= 3.5.0), Amelia, MASS, snowfall, rsem Imports: lavaan, sem Description: 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, ), Zhang (2014, ), and Yuan and Zhang (2012, ). License: GPL-2 LazyLoad: yes LazyData: true URL: https://bigdatalab.nd.edu ZipData: no NeedsCompilation: no Packaged: 2022-05-28 13:53:59 UTC; zzhang4 Suggests: R.rsp VignetteBuilder: R.rsp Author: Shuigen Ming [aut], Hong Zhang [aut], Zhiyong Zhang [aut, cre], Lijuan Wang [aut] Maintainer: Zhiyong Zhang RoxygenNote: 7.1.2 Repository: CRAN Date/Publication: 2022-05-28 14:40:06 UTC