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: 0.1.5
Depends: R (≥ 2.10)
Imports: boot, brglm, MASS, profileModel, Rcpp, stats
Published: 2017-07-17
Author: Arnab Maity [aut, cre], Vivek Pradhan [ctb], Ujjwal Das [ctb]
Maintainer: Arnab Maity <akumar at stat.tamu.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: brlrmr results

Downloads:

Reference manual: brlrmr.pdf
Package source: brlrmr_0.1.5.tar.gz
Windows binaries: r-devel: brlrmr_0.1.5.zip, r-release: brlrmr_0.1.5.zip, r-oldrel: brlrmr_0.1.5.zip
OS X El Capitan binaries: r-release: brlrmr_0.1.5.tgz
OS X Mavericks binaries: r-oldrel: brlrmr_0.1.5.tgz
Old sources: brlrmr archive

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