Package: brlrmr 0.1.7

Arnab Maity

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]

brlrmr_0.1.7.tar.gz
brlrmr_0.1.7.zip(r-4.7)brlrmr_0.1.7.zip(r-4.6)brlrmr_0.1.7.zip(r-4.5)
brlrmr_0.1.7.tgz(r-4.6-any)brlrmr_0.1.7.tgz(r-4.5-any)
brlrmr_0.1.7.tar.gz(r-4.7-any)brlrmr_0.1.7.tar.gz(r-4.6-any)
brlrmr_0.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
brlrmr/json (API)

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

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

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:

Conda:

archivedpackagesr-universe

2.00 score 5 stars 2 scripts 53 downloads 2 mentions 6 exports 5 dependencies

Last updated from:05767e00f5 (on package/brlrmr). Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE88
source / vignettesOK164
linux-release-x86_64NOTE101
macos-release-arm64NOTE118
macos-oldrel-arm64NOTE123
windows-develNOTE64
windows-releaseNOTE66
windows-oldrelNOTE60
wasm-releaseOK83

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

Dependencies:bootbrglmMASSprofileModelRcpp