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stepmixr

0.1.3Package record

Interface to 'Python' Package 'StepMix'

0packages depend
2.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

This is an interface for the 'Python' package 'StepMix'. It is a 'Python' package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. 'StepMix' handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods based on pseudolikelihood theory. Additional features include support for covariates and distal outcomes, various simulation utilities, and non-parametric bootstrapping, which allows inference in semi-supervised and unsupervised settings. Software paper available at doi:10.18637/jss.v113.i08.

Install

Health

CRAN checks
13OK
Slowest check: 50 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.3
README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
9
Examples that run
33%2 run in a plain check · 4 never run
Exported functions with examples
67%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.9K
CRAN downloads in the past year
Rank #17,446 · ~8/day · ~240/mo
Daily download trend is not available in this view yet.
27130 days
73390 days
2.9K1 year
Compare downloads with other packages →
Also on95 r2u2 autocran

Repository

2Stars
0Forks
3Open issues
0Open PRs
0Releases
36Commits
3Commit identities
36 commits · Last activity 2025-07-28
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
6
Median days to close, 50 most recently updated closed PRs
0
PracticesBeta

Checks run against github.com/labo-lacourse/stepmixr on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing stepmixr adds 10 packages (7 with compiled code, 5.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, reticulate 1.6 MB, jsonlite 1.0 MB.

Depends (1)
R >= 4.0.0
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (7)
Author, Maintainer since 0.1.0 (2022)
Author · added in 0.1.2
Author · added in 0.1.1
Contributor · added in 0.1.1
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.3Latest
    record
    2025-07-04 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2
    record
    2024-01-09 · diff ↗ ·
    added 3 exports
    predict_proba, bootstrap, bootstrap_stats
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.1
    record
    2023-03-22 · diff ↗ ·
    added 8 exports
    random_nan, bakk_measurements, data_bakk_response, data_bakk_covariate, data_bakk_complete, data_generation_gaussian, data_gaussian_diag, identify_coef
  • 0.1.0
    record
    2022-11-18
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-11-18
Total releases
4 / 4 yrs
License
GPL-2 OSI
Minimum R
≥ 4.0.0
Download size
11 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("stepmixr")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v113.i08.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for stepmixr version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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