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Package: glemb 0.1.3
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 & Tate 1961; Little & Schluchter 1987) combined with the Expectation-Maximization with Bootstrapping (EMB) algorithm. 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).
Authors:
glemb_0.1.3.tar.gz
glemb_0.1.3.zip(r-4.7-any)glemb_0.1.3.zip(r-4.6-any)glemb_0.1.3.zip(r-4.5-any)
glemb_0.1.3.tgz(r-4.6-any)glemb_0.1.3.tgz(r-4.5-any)
glemb_0.1.3.tar.gz(r-4.7-any)glemb_0.1.3.tar.gz(r-4.6-any)
glemb_0.1.3.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://pauldallison.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pauldallison/glemb/issues
Last updated from:8959d49ac5. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 155 | ||
| source / vignettes | OK | 228 | ||
| linux-release | NOTE | 117 | ||
| macos-release | NOTE | 163 | ||
| macos-oldrel | NOTE | 175 | ||
| windows-devel | NOTE | 81 | ||
| windows-release | NOTE | 77 | ||
| windows-oldrel | NOTE | 73 | ||
| wasm-release | OK | 98 |
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 |
| Print a glemb object | print.glemb |
| Summarise a glemb object | summary.glemb |