mreg: Fits regression models when the outcome is partially missing.

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Implements the methods described in Bond S, Farewell V, 2006, Exact Likelihood Estimation for a Negative Binomial Regression Model with Missing Outcomes, Biometrics

Author
Simon Bond
Date of publication
2013-11-13 15:35:12
Maintainer
Simon Bond <simon.bond@addenbrookes.nhs.uk>
License
GPL
Version
1.1

View on CRAN

Man pages

chop
Internal functions for the mreg package
mreg
To perform regression when discrete outcome variables are...
mreg.package
Implements the techniques of exact likelihood when the...
paper
An example of a function to calculate the effect on the...
print.mreg
Prints the coefficients from an mreg object
public
Subset of Arthritis Data
summary.mreg
Prints a summary of an mreg object
unity
The default value of 'modify' function in 'mreg'

Files in this package

mreg
mreg/NAMESPACE
mreg/data
mreg/data/public.rda
mreg/R
mreg/R/form.add.R
mreg/R/family.dim.R
mreg/R/minimand.R
mreg/R/minimand2.R
mreg/R/logLik.R
mreg/R/print.mreg.R
mreg/R/randfn.R
mreg/R/chop.R
mreg/R/invlinkfn.R
mreg/R/logLik2.R
mreg/R/mreg.R
mreg/R/summary.mreg.R
mreg/R/unity.R
mreg/R/densityfn.R
mreg/R/linkfn.R
mreg/R/paper.R
mreg/MD5
mreg/README
mreg/DESCRIPTION
mreg/man
mreg/man/summary.mreg.Rd
mreg/man/mreg.Rd
mreg/man/print.mreg.Rd
mreg/man/paper.Rd
mreg/man/unity.Rd
mreg/man/public.Rd
mreg/man/chop.Rd
mreg/man/mreg.package.Rd
mreg/INDEX