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brlrmr  

Bias Reduction with Missing Binary Response
View on CRAN: Click here


Download and install brlrmr package within the R console
Install from CRAN:
install.packages("brlrmr")

Install from Github:
library("remotes")
install_github("cran/brlrmr")

Install by package version:
library("remotes")
install_version("brlrmr", "0.1.7")



Attach the package and use:
library("brlrmr")
Maintained by
Arnab Maity
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-24
Latest Update: 2019-09-10
Description:
Provides two main functions, il() and fil(). The il() function implements the EM algorithm developed by Ibrahim and Lipsitz (1996) 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) .
How to cite:
Arnab Maity (2017). brlrmr: Bias Reduction with Missing Binary Response. R package version 0.1.7, https://cran.r-project.org/web/packages/brlrmr
Previous versions and publish date:
0.1.0 (2017-05-24 06:27), 0.1.2 (2017-06-10 01:54), 0.1.3 (2017-07-07 17:57), 0.1.4 (2017-07-10 23:35), 0.1.5 (2017-07-17 19:51)
Other packages that cited brlrmr R package
View brlrmr citation profile
Other R packages that brlrmr depends, imports, suggests or enhances
Functions, R codes and Examples using the brlrmr R package
Some associated functions: em.fil.interaction . em.fil . em.il.interaction . em.il . fil . il . incontinence . nhanes . simulated.data . 
Some associated R codes: em.fil.R . em.fil.interaction.R . em.il.R . em.il.interaction.R . fil.R . il.R . incontinence.R . nhanes.R . simulated.data.R .  Full brlrmr package functions and examples
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