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.
- Version0.1.7
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release09/10/2019
Documentation
Team
Arnab Maity
Vivek Pradhan
Show author detailsRolesAuthorUjjwal Das
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 229 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
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Last 365 days
This package has been downloaded 3,071 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jan 22, 2025 with 34 downloads.
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Dependencies
- Imports5 packages