family$dispersion infrastructure in R 4.3.0 (contributed by Martyn Plummer).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.