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This package was removed from CRAN on 2026-06-12. Its history is shown below.
Reason: issues were not corrected in time
Details below reflect version 0.1.2, its last release before removal.

mlmodels

0.1.2

Maximum Likelihood Models and Tools for Estimation, Prediction, and Testing

0packages depend
555downloads / year
test coverage
checks pass

Overview

About

Provides a collection of maximum likelihood estimators with a consistent S3 interface. Supported models include Gaussian (linear and log-normal), logit, probit, Poisson, negative binomial (NB1 and NB2), gamma, and beta regression. A distinctive feature is flexible modeling of the scale parameter (variance, dispersion, precision, or shape) alongside the location/mean parameters. The package offers unified predict() methods, multiple variance-covariance estimators (observed information, outer product of gradients, robust/Huber-White, cluster-robust, bootstrap, jackknife), and a full suite of hypothesis tests (Wald, likelihood ratio, information matrix, Vuong, overdispersion, and goodness-of-fit). It is fully compatible with 'marginaleffects' for post-estimation analysis. Methods implemented include Cameron and Trivedi (1990) doi:10.1016/0304-4076(90)90014-K, for Poisson overdispersion testing, Manjon and Martinez (2014) doi:10.1177/1536867X1401400406, for goodness-of-fit testing of count data models, Vuong (1989) doi:10.2307/1912557, for non-nested likelihood ratio testing, and White (1982) doi:10.2307/1912526, for information matrix tests.

Install

Health

CRAN checks

CRAN check results are not tracked yet.

Code health
Yes
Tests · ratio 0.09
not tracked
Coverage
95%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-05-09
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 207 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
21%

Downloads

555
CRAN downloads in the past year
Rank #23,977 · ~2/day · ~46/mo
Daily download trend is not available in this view yet.
Also on23 r2u

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • archivedRemoved from CRAN
    2026-06-12
    issues were not corrected in time
  • 0.1.2
    2026-05-08
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

Total releases
1
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
156 KB / 4 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mlmodels")
Sanchez-Penalver, A. (n.d.). mlmodels: Maximum Likelihood Models and Tools for Estimation, Prediction, and Testing (Version 0.1.2) [Computer software]. Retrieved August 15, 2026, from https://CRAN.R-project.org/package=mlmodels

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlmodels version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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