Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroskedastic latent variables.
Changes in Version 0.1-1
o Added predict() method for "glmx" objects.
o Small improvements in NAMESPACE.
Changes in Version 0.1-0
o First CRAN release of "glmx". However, all functions are still under development and both interfaces and internals might change in future releases.
o The main functions are hetglm() for heteroskedastic GLMs (in particular heteroskedastic probit etc.), glmx() for GLMs with extra parameters (such as parametric links), and a collection of parametric links for binary regressions.