R Observatory: Metrics for lavacreg version 0.2-2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lavacreg

0.2-2

Latent Variable Count Regression Models

0packages depend

7.2Kdownloads / year

–test coverage

0/13checks pass

Overview

About

Maintained by Christoph KieferFirst published 2021-02-166 releasesCRAN page ↗GitHub ↗

Estimation of a multi-group count regression models (i.e., Poisson, negative binomial) with latent covariates. This packages provides two extensions compared to ordinary count regression models based on a generalized linear model: First, measurement models for the predictors can be specified allowing to account for measurement error. Second, the count regression can be simultaneously estimated in multiple groups with stochastic group weights. The marginal maximum likelihood estimation is described in Kiefer & Mayer (2020) doi:10.1080/00273171.2020.1751027.

Install

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

install.packages("lavacreg", 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("chkiefer/lavacreg")

Development version from chkiefer/lavacreg. 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-lavacreg

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-lavacreg

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-lavacreg

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13NOTE

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc
NOTE r-devel-windows-x86_64
NOTE r-oldrel-macos-arm64
NOTE r-oldrel-macos-x86_64
NOTE r-oldrel-windows-x86_64
NOTE r-patched-linux-x86_64
NOTE r-release-linux-x86_64
NOTE r-release-macos-arm64
NOTE r-release-macos-x86_64
NOTE r-release-windows-x86_64

Slowest check: 3.9 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 1.70

not tracked

Coverage

100%

Documentation · exports

6

Dependencies · direct

Check history

NOTE2026-04-22
3 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
3 OK · 10 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
3 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 107 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

7.2K

CRAN downloads in the past year

Rank #6,280 · ~20/day · ~601/mo

Releases R versions

Daily download trend is not available in this view yet.

17930 days

1.3K90 days

7.2K1 year

Compare downloads with other packages →

Also on389 r2u17 autocran

Repository

GitHub ↗ chkiefer/lavacreg

3Stars

2Forks

1Open issues

0Open PRs

2Releases

113Commits

4Contributors

latent-covariatescount-regressionstructural-equation-modeling

113 commits · Last activity 2026-06-08

Stars over time

2021-05-02 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/chkiefer/lavacreg on 2026-08-16.

Continuous integration (2)

GitHub ActionsTravis CI

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (6)

Rcpp fastGHQuad pracmamethodsstatsSparseGrid

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Christoph Kiefer

Maintainer, Author

Authors (1)

Christoph Kiefer

Maintainer, Author

Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.2-2Latest
2024-06-13 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
0.2-1
2023-10-26 · diff ↗
0.2-0
2023-10-23 · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.1-2
2021-08-19 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1-1
2021-03-03 · diff ↗
0.1-0
2021-02-16
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-02-16
Total releases: 6 / 5 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 9.1 KB / 1 file
Download size: 51 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lavacreg")

Format

Kiefer, C. (2024). lavacreg: Latent Variable Count Regression Models (Version 0.2-2) [Computer software]. https://doi.org/10.32614/CRAN.package.lavacreg

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 lavacreg version 0.2-2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →