PathSelectMP: Backwards Variable Selection for Paths using M Plus
Version 1.0

Primarily for use with datasets containing only categorical variables, although continuous variables may be included as independent variables in paths. Using M Plus, backward variable selection is performed on all Total, Total Indirect, and then Direct effects until none of these effects have p-values greater than the specified target p-value. If there are missing values in the data, imputations are performed using the Mice package. Then selection is performed with the imputed data sets, and results are averaged.

Package details

AuthorWilliam Terry, Meredith Ray, Hongmei Zhang
Date of publication2016-05-20 01:16:03
MaintainerWilliam Terry <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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PathSelectMP documentation built on May 30, 2017, 1:21 a.m.