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.
| Version: | 1.1 |
| Depends: | R (≥ 3.1.2) |
| Imports: | mice, MplusAutomation |
| Published: | 2017-12-19 |
| Author: | William Terry, Meredith Ray, Hongmei Zhang |
| Maintainer: | William Terry <wterryj6a214 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | PathSelectMP results |
| Reference manual: | PathSelectMP.pdf |
| Package source: | PathSelectMP_1.1.tar.gz |
| Windows binaries: | r-devel: PathSelectMP_1.1.zip, r-release: PathSelectMP_1.1.zip, r-oldrel: PathSelectMP_1.1.zip |
| macOS binaries: | r-release: PathSelectMP_1.1.tgz, r-oldrel: PathSelectMP_1.1.tgz |
| Old sources: | PathSelectMP archive |
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