getFamily: Helper function for glmBayesMfp: Extracts an S3 family object

Description Usage Arguments Value

Description

Extracts an S3 family object, which (at least) the usual elements "family", "link", "linkfun", "linkinv", "variance", "mu.eta", "dev.resids", plus the additional elements: "phi" which includes just the dispersion parameter to be used, and "simulate" which can generate random variates for a given linear predictor and weight vector (this function of course also uses the "phi" value)

Usage

1

Arguments

family

the family argument passed to glmBayesMfp

phi

the dispersion argument passed to glmBayesMfp

Value

The returned family object also includes a custom ‘init’ function, which takes the response vector (or matrix) (‘y’) and the corresponding weight vector (‘weights’), processes them to response vector ‘y’ and possibly altered weights ‘weights’, and includes starting values ‘mustart’ for the IWLS algorithm. For example, here the binomial special case of two-column-response matrix is treated exactly in the same way as in glm.


Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.