In shug0131/mreg: Fits Regression Models When the Outcome is Partially Missing

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

mreg

The goal of mreg is to implements the techniques of exact likelihood when the discrete outcome can be missing in a regression model. It is the accompanying software to the paper Bond S, Farewell V, 2006, Exact Likelihood Estimation for a Negative Binomial Regression Model with Missing Outcomes, Biometrics

Installation

You can install the released version of mreg from CRAN with:

install.packages("mreg")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("shug0131/mreg")

Example

This is a basic example which shows you how to solve a common problem:

library(mreg)
 mod1 <- mreg( damaged~offset(log(intervisit.time))+esr.init,
 data=public,patid=ptno,print.level=1, iterlim=1000 )
 mod1
 summary(mod1)