Package: brlrmr 0.1.7

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>.

Authors:Arnab Maity [aut, cre], Vivek Pradhan [aut], Ujjwal Das [aut]

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# Install 'brlrmr' in R:
install.packages('brlrmr', repos = c('https://maitya02.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • incontinence - Incontinence example.
  • nhanes - Subset of original NHANES data used in 'mice' package.
  • simulated.data - We simulate this data for the purpose of illustration of the package

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 scripts 238 downloads 2 mentions 6 exports 5 dependencies

Last updated 5 years agofrom:eefb249259. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-winNOTEOct 27 2024
R-4.5-linuxNOTEOct 27 2024
R-4.4-winNOTEOct 27 2024
R-4.4-macNOTEOct 27 2024
R-4.3-winNOTEOct 27 2024
R-4.3-macNOTEOct 27 2024

Exports:em.filem.fil.interactionem.ilem.il.interactionfilil

Dependencies:bootbrglmMASSprofileModelRcpp