R Observatory: Metrics for glemb version 0.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

glemb

0.1.4Package record

Multiple Imputation Using the General Location Model with the EMB Algorithm

0packages depend

140downloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Paul AllisonCRAN page ↗GitHub ↗Issues ↗

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).

Changes in 0.1.4

Added the nlsymiss dataset (581 children from the NLSY with missing values on five variables), used in all examples.
Examples now run as-is on nlsymiss instead of being wrapped in \dontrun{}.
Corrected the Little & Schluchter citation to 1985 and added DOI/ISBN links to the references in DESCRIPTION and the help pages.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Fedora (COPR)openSUSE (OBS)

install.packages("glemb", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("pauldallison/glemb")

Development version from pauldallison/glemb. Installs pak first if it is not already available.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-glemb

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-glemb

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-macos-x86_64

Status changes

OK13 OKNow
OK6 OK2026-10-16

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.4

READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.4Citation fileNoWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 5
Examples that run: 100%5 run in a plain check (1 of them under a condition)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 40%

Vignettes (1)

Introduction to glemb HTML

How these are measured

Downloads

140

CRAN downloads in the past year

Rank #25,581 · ~0/day · ~12/mo

Releases R versions

Daily download trend is not available in this view yet.

14030 days

14090 days

1401 year

Compare downloads with other packages →

Also on1 autocran

How downloads are counted

Repository

pauldallison/glemb ↗Account: pauldallison

1Stars

0Forks

0Open issues

0Open PRs

0Releases

12Commits

1Commit identities

12 commits · Last activity 2026-05-25 · The default branch showed an older version (0.1.3) than CRAN on 2026-10-22

Responsiveness

not measured

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/pauldallison/glemb on 2026-10-22.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-05-25
Commits: at least 1 crediting it in the message

Models named in its commits

Claude Sonnet 4.51 commit · May 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing glemb adds 1 package (1 with compiled code, 23 KB of source tarballs). Heaviest: mix 23 KB.

Depends (1)

R >= 4.0.0

Imports (1)

mix

LinkingTo (0)

none

Suggests (5)

mice mitml testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Paul Allison

Author, Maintainer since 0.1.4 (2026)

Releases (1)

0.1.4Latest
record
2026-10-15 · current release ·
10 days in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-05 20:05 to 2026-10-15 12:21 UTC, in 43 readings.
R
R 4.6.0 released · 2026-04-24

Across CRAN, the median accepted release of the past year spent 26 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-10-15
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Bundled data: 3.0 KB / 1 file
Download size: 40 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("glemb")

Format

Allison, P. (2026). glemb: Multiple Imputation Using the General Location Model with the EMB Algorithm (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.glemb

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for glemb version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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