Overview | Example: Antisocial Behavior in the NLSY | Running glemb | Fitting and Pooling the Analysis Model | References
This package is considered a duplicate. The official version of this package is found at:https://pauldallison.r-universe.dev/glemb
Package: glemb 0.1.4
Paul Allison
glemb: Multiple Imputation Using the General Location Model with the EMB Algorithm
Provides multiple imputation for mixed continuous and categorical data using the General Location Model (Olkin and Tate (1961) <doi:10.1214/aoms/1177705052>; Little and Schluchter (1985) <doi:10.1093/biomet/72.3.497>) combined with the Expectation-Maximization with Bootstrapping (EMB) algorithm of Honaker, King and Blackwell (2011) <doi:10.18637/jss.v045.i07>. Categorical variables are specified via the noms option; all other variables are treated as continuous. The package wraps the EM implementation in the 'mix' package and extends it with a bootstrap wrapper to produce proper multiple imputations in the sense of Rubin (1987, ISBN:978-0-471-08705-2).
Authors:
glemb_0.1.4.tar.gz
glemb_0.1.4.zip(r-4.7-any)glemb_0.1.4.zip(r-4.6-any)
glemb_0.1.4.tar.gz(r-4.7-any)glemb_0.1.4.tar.gz(r-4.6-any)
glemb_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
glemb/json (API)
| # Install 'glemb' in R: |
| install.packages('glemb', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pauldallison/glemb/issues
Datasets:
- nlsymiss - Children's behavior data from the NLSY, with missing values
Last updated from:a82755cc91. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 139 | ||
| source / vignettes | OK | 214 | ||
| linux-release | OK | 125 | ||
| windows-devel | OK | 89 | ||
| windows-release | OK | 90 | ||
| wasm-release | OK | 100 |
Exports:as.mids.glembglemb
Dependencies:mix
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Convert a glemb object to a mids object | as.mids.glemb |
| Multiple Imputation Using the General Location Model with the EMB Algorithm | glemb |
| Children's behavior data from the NLSY, with missing values | nlsymiss |
| Print a glemb object | print.glemb |
| Summarise a glemb object | summary.glemb |