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.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.