• Updated example reference output for CRAN checks.
  • Improved handling of dispersion in GLM families based on the new family$dispersion infrastructure in R 4.3.0 (contributed by Martyn Plummer).
  • Small documentation improvements.
  • Improved family initialization in case of binomial (rather than binary) models.

  • Unified spelling to “heteroscedastic” rather than “heteroskedastic”.

  • Added some tests as well as reference output for the examples.

  • Added predict() method for glmx objects.

  • Small improvements in NAMESPACE.

  • First CRAN release of glmx. However, all functions are still under development and both interfaces and internals might change in future releases.

  • The main functions are hetglm() for heteroscedastic GLMs (in particular heteroscedastic probit etc.), glmx() for GLMs with extra parameters (such as parametric links), and a collection of parametric links for binary regressions.