Fits regression models when the outcome is partially missing.

Documentation for package ‘mreg’ version 1.1

mreg-package	Implements the techniques of exact likelihood when the discrete outcome can be missing in a regression model.
chop	Internal functions for the mreg package
densityfn	Internal functions for the mreg package
family.dim	Internal functions for the mreg package
form.add	Internal functions for the mreg package
invlinkfn	Internal functions for the mreg package
linkfn	Internal functions for the mreg package
logLik	Internal functions for the mreg package
logLik2	Internal functions for the mreg package
minimand	Internal functions for the mreg package
minimand2	Internal functions for the mreg package
mreg	To perform regression when discrete outcome variables are missing
paper	An example of a function to calculate the effect on the location that depends on previous outcome in an mreg model
print.mreg	Prints the coefficients from an mreg object
public	Subset of Arthritis Data
randfn	Internal functions for the mreg package
summary.mreg	Prints a summary of an mreg object
unity	The default value of 'modify' function in 'mreg'