Package: kmi 0.5.5

kmi: Kaplan-Meier Multiple Imputation for the Analysis of Cumulative Incidence Functions in the Competing Risks Setting

Performs a Kaplan-Meier multiple imputation to recover the missing potential censoring information from competing risks events, so that standard right-censored methods could be applied to the imputed data sets to perform analyses of the cumulative incidence functions (Allignol and Beyersmann, 2010 <doi:10.1093/biostatistics/kxq018>).

Authors:Arthur Allignol <[email protected]>

kmi_0.5.5.tar.gz
kmi_0.5.5.zip(r-4.7-any)kmi_0.5.5.zip(r-4.6-any)kmi_0.5.5.zip(r-4.5-any)
kmi_0.5.5.tgz(r-4.6-any)kmi_0.5.5.tgz(r-4.5-any)
kmi_0.5.5.tar.gz(r-4.7-any)kmi_0.5.5.tar.gz(r-4.6-any)
kmi_0.5.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
kmi/json (API)

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

Bug tracker:https://github.com/aallignol/kmi/issues

Datasets:
  • icu.pneu - Hospital acquired penumonia in ICU

On CRAN:

Conda:

2.98 score 2 stars 1.6k downloads 3 mentions 3 exports 5 dependencies

Last updated from:16803c9763. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK136
source / vignettesOK191
linux-releaseOK130
macos-releaseOK86
macos-oldrelOK109
windows-develOK92
windows-releaseOK99
windows-oldrelOK83
wasm-releaseOK100

Exports:cox.kmikmisummary.cox.kmi

Dependencies:DBIlatticeMatrixmitoolssurvival