Package: bmem
Type: Package
Title: Mediation Analysis with Missing Data Using Bootstrap
Version: 2.2
Date: 2025-09-02
Authors@R: c(person(given = "Zhiyong",
                      family = "Zhang",
                      role = c("aut", "cre"),
                      email = "zhiyongzhang@nd.edu"),
               person(given = "Lijuan",
                      family = "Wang",
                      role = "aut"))
Maintainer: Zhiyong Zhang <zhiyongzhang@nd.edu>
Depends: R (>= 1.7), Amelia, MASS, snowfall
Imports: lavaan, sem
Description: Four methods for mediation analysis with missing data:
        Listwise deletion, Pairwise deletion, Multiple imputation, and
        Two Stage Maximum Likelihood algorithm. For MI and TS-ML,
        auxiliary variables can be included. Bootstrap confidence
        intervals for mediation effects are obtained. The robust method
        is also implemented for TS-ML. Since version 1.4, bmem adds the
        capability to conduct power analysis for mediation models.
        Details about the methods used can be found in these articles.
        Zhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang
        (2014) <doi:10.3758/s13428-013-0424-0>.
License: GPL-2
LazyLoad: yes
URL: https://bigdatalab.nd.edu
NeedsCompilation: no
Packaged: 2026-07-04 01:26:33 UTC; root
Author: Zhiyong Zhang [aut, cre], Lijuan Wang [aut]
Config/pak/sysreqs: cmake make
Repository: https://johnnyzhz.r-universe.dev
Date/Publication: 2025-09-03 19:40:02 UTC
RemoteUrl: https://github.com/cran/bmem
RemoteRef: HEAD
RemoteSha: 8274cb48cba4ed861b3735d48766c8651be368fd