NEWS

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mlmodels 0.1.2 (2026-05-08)

• Added return values in the documentation of exported functions that were missing them.
• Added references to implemented methods in the description.

mlmodels 0.1.1

• Fixed weighted log-likelihood calculation in ml_logit() (both homoskedastic and heteroskedastic versions). This bug previously caused incorrect log-likelihood, AIC, BIC, and convergence issues in weighted logit models.
• All other models were already handling weights correctly.

mlmodels 0.1.0

• First public release - Initial CRAN submission
• Provides maximum likelihood estimation for Gaussian (linear and log-normal), logit, probit, Poisson, negative binomial (NB1 and NB2), gamma, and beta models.
• Consistent S3 interface with support for modeling scale parameters.
• Multiple variance-covariance estimators (OIM, OPG, robust, cluster-robust, bootstrap, jackknife).
• Full suite of post-estimation tools and hypothesis tests.
• Compatible with marginaleffects for marginal effects and predictions.
• Comprehensive vignettes covering main model families and diagnostics.