R Observatory: Metrics for simglm version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

simglm

1.0.0Package record

Simulate Models Based on the Generalized Linear Model

0packages depend

4.8Kdownloads / year

68.9%test coverage

13/13flavors OK

Overview

About

Maintained by Brandon LeBeauCRAN page ↗GitHub ↗Issues ↗

Simulates regression models, including both simple regression and generalized linear mixed models with up to three level of nesting. Power simulations that are flexible allowing the specification of missing data, unbalanced designs, and different random error distributions are built into the package.

Changes in 1.0.0

This major release accompanies the publication of the simglm book. It

expands the package's simulation and power-analysis capabilities and aligns

the package API with the examples presented in the book.

New outcome and data-generation options

Added support for ordinal and multinomial outcomes.
Added floor and ceiling controls for continuous outcomes.
Changed factor simulation to preserve the declared order of levels rather than sorting levels alphabetically.
Added force_equal = TRUE for generating equally represented factor levels.
Expanded support for unbalanced designs and flexible sample-size specifications.
Generalized cross-classified data generation through multiple-membership simulation.

Show all changes in 1.0.0Hide the rest of the changes in 1.0.0

Added post-processing and outcome aggregation tools.
Extended formula parsing and simulation support for list-based specifications and multiple-equation workflows.

Power analysis and model fitting

Reworked the power-simulation framework, including improved support for between- and within-subject designs.
Added type S and type M error summaries.
Added robust_model() for models using robust standard errors.

Propensity score workflows

Added simulate_propensity() for generating non-random treatment assignment.
Added fit_propensity() and support for covariate adjustment, inverse probability weighting (ipw), and stabilized balancing weights (sbw).
Added support, examples, and tests for multilevel propensity score designs.

Documentation, testing, and maintenance

Expanded the vignettes and documentation for missing-data, factor, ordinal, multinomial, post-processing, power, and propensity score workflows.
Added lightweight compatibility tests based on code published in the book.
The package now requires R 4.1.0 or later because examples and simulation workflows use the native R pipe (|>)
Removed Matrix from package imports and added gtools, sandwich, and lmtest.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("simglm", 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("lebebr01/simglm")

Development version from lebebr01/simglm. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-simglm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# 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-simglm

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-simglm

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: 3.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 281 wordsVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 1.0.0Citation fileNo

Help pages: 35 (1 internal)includes a package overview page
Examples that run: no examples
Exported functions with examples: 0%
Documented parameters: 100%
Return-value docs: 6%
Help pages citing references: 0%

Vignettes (4)

How these are measured

Downloads

4.8K

CRAN downloads in the past year

Rank #6,517 · ~13/day · ~397/mo

Releases R versions

Daily download trend is not available in this view yet.

51630 days

1.3K90 days

4.8K1 year

Compare downloads with other packages →

Also on106 r2u1 autocran100 c2d4u

How downloads are counted

Repository

lebebr01/simglm ↗Account: lebebr01

46Stars

11Forks

2Open issues

0Open PRs

3Releases

1,000Commits

4Commit identities

rsimulationpower

1,000 commits · Last activity 2026-09-01 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 82%
Median days to close, 50 most recently updated closed issues: 30
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-09-11 · 432026-07-07 · 46

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/lebebr01/simglm on 2026-10-25.

Continuous integration (3)

GitHub ActionsR CMD check workflowAppVeyor

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-09-01 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing simglm adds 32 packages (18 with compiled code, 22 MB of source tarballs). Heaviest: stringi 11 MB, sandwich 1.4 MB, vctrs 1.0 MB.

Depends (1)

R >= 4.1.0

Imports (11)

statsmethodsrlang dplyr purrr broom future.apply gtools sandwich lmtestsplines

LinkingTo (0)

none

Suggests (12)

knitr lme4nlmetestthat shiny e1071 ggplot2 tidyr geepack rmarkdown future covr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Brandon LeBeau

Author, Maintainer since 0.5.0 (2017)

Releases (10)

Pick two releases to compare their code metrics.

1.0.0Latest
record
2026-09-01 · current release · diff ↗ ·
removed 1 export
parse_crossclass

added 8 exports
aggregate_outcome_by_level, compute_density_values, fit_propensity, parse_multiplemember, parse_varyarguments_w, robust_model, sim_ordinal2, simulate_propensity
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
unarchivedReturned to CRAN
2022-02-07
0.8.9
record
2022-02-07 · diff ↗
archivedRemoved from CRAN
2022-02-06
check problems were not corrected in time
0.8.8
record
2021-08-09 · diff ↗ ·
removed 33 exports
corr_variables, cross_class, data_glm_nested, data_glm_nested3, data_glm_single, data_reg_nested, data_reg_nested3, data_reg_single, sim_continuous, sim_err_nested, sim_err_single, sim_factor, sim_fixef_nested, sim_fixef_nested3, sim_fixef_single, sim_glm, sim_glm_nested, sim_glm_nested3, sim_glm_single, sim_knot, sim_pow, sim_pow_glm, sim_pow_glm_nested, sim_pow_glm_nested3, sim_pow_glm_single, sim_pow_nested, sim_pow_nested3, sim_pow_single, sim_rand_eff, sim_reg and 3 more

added 3 exports
correlate_variables, parse_correlation, simulate_knot
R
R 4.1.0 released · 2021-05-18
0.8.0
record
2020-06-12 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.7.4
record
2019-05-31 · diff ↗ ·
added 1 export
simulate_heterogeneity
R
R 3.6.0 released · 2019-04-26
0.7.2
record
2019-01-23 · diff ↗

Show 6 earlier eventsHide 6 earlier events

0.7.1
record
2018-07-25 · diff ↗
0.7.0
record
2018-06-02 · diff ↗ ·
added 21 exports
compute_statistics, cross_class, extract_coefficients, generate_missing, generate_response, model_fit, parse_crossclass, parse_formula, parse_power, parse_randomeffect, parse_varyarguments, replicate_simulation, sim_continuous2, sim_factor2, sim_knot, sim_time, simglm, simulate_error, simulate_fixed, simulate_randomeffect, transform_outcome
R
R 3.5.0 released · 2018-04-23
0.6.0
record
2017-07-24 · diff ↗
0.5.0
record
2017-05-25
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-05-25
Total releases: 10 / 9 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 590 KB

Appears in task views

Clinical Trial Design, Monitoring, Analysis and Reporting Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("simglm")

Format

LeBeau, B. (2026). simglm: Simulate Models Based on the Generalized Linear Model (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.simglm

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 simglm version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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