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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 |
| Reference manual: | brlrmr.pdf |
| 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 |
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