Changes in version 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.

                        Changes in version 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.

                        Changes in version 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.