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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>.

Version:	0.1.7
Depends:	R (≥ 2.10)
Imports:	boot,brglm,MASS,profileModel,Rcpp, stats
Published:	2019-09-10
DOI:	10.32614/CRAN.package.brlrmr
Author:	Arnab Maity [aut, cre], Vivek Pradhan [aut], Ujjwal Das [aut]
Maintainer:	Arnab Maity <arnab.maity at pfizer.com>
License:	GPL-3
NeedsCompilation:	no
Citation:	brlrmr citation info
In views:	MissingData
CRAN checks:	brlrmr results

Documentation:

Reference manual:

brlrmr.html ,brlrmr.pdf

Downloads:

Package source:	brlrmr_0.1.7.tar.gz
Windows binaries:	r-devel:brlrmr_0.1.7.zip, r-release:brlrmr_0.1.7.zip, r-oldrel:brlrmr_0.1.7.zip
macOS binaries:	r-release (arm64):brlrmr_0.1.7.tgz, r-oldrel (arm64):brlrmr_0.1.7.tgz, r-release (x86_64):brlrmr_0.1.7.tgz, r-oldrel (x86_64):brlrmr_0.1.7.tgz
Old sources:	brlrmr archive

Linking:

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