# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bmemLavaan" in publications use:' type: software license: GPL-2.0-only title: 'bmemLavaan: Mediation Analysis with Missing Data and Non-Normal Data' version: '0.5' doi: 10.32614/CRAN.package.bmemLavaan abstract: '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, ).' authors: - family-names: Ming given-names: Shuigen email: msg0@mail.ustc.edu.cn - family-names: Zhang given-names: Hong email: zhangh@ustc.edu.cn - family-names: Zhang given-names: Zhiyong email: johnnyzhz@gmail.com - family-names: Wang given-names: Lijuan email: lwang4@nd.edu repository: https://johnnyzhz.r-universe.dev commit: 6cd9892923b27929d10ecced8d135002278ea126 url: https://bigdatalab.nd.edu date-released: '2022-05-27' contact: - family-names: Zhang given-names: Zhiyong email: johnnyzhz@gmail.com