brlrmr: Bias Reduction with Missing Binary Response

Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068> to estimate the parameters of a logistic regression model with the missing response when the missing data mechanism is nonignorable. The fil() function implements the algorithm proposed by Maity et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.

Getting started

Package details

AuthorArnab Maity [aut, cre], Vivek Pradhan [ctb], Ujjwal Das [ctb]
MaintainerArnab Maity <[email protected]>
LicenseGPL-3
Version0.1.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("brlrmr")

Try the brlrmr package in your browser

Any scripts or data that you put into this service are public.

brlrmr documentation built on July 18, 2017, 1:05 a.m.