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mlmodels 0.1.2

• 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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