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+) <> 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>
License: GPL-3
NeedsCompilation: no
Citation: brlrmr citation info
In views: MissingData
CRAN checks: brlrmr results


Reference manual: brlrmr.pdf


Package source: brlrmr_0.1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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