Package: SurvLong 1.5

SurvLong: Analysis of Proportional Hazards Model with Sparse Longitudinal Covariates

Provides kernel weighting methods for estimation of proportional hazards models with intermittently observed longitudinal covariates. Cao H., Churpek M. M., Zeng D., and Fine J. P. (2015) <doi:10.1080/01621459.2014.957289>.

Authors:Hongyuan Cao [aut], Mathew M. Churpek [aut], Donglin Zeng [aut], Jason P. Fine [aut], Shannon T. Holloway [aut, cre]

SurvLong_1.5.tar.gz
SurvLong_1.5.zip(r-4.7-any)SurvLong_1.5.zip(r-4.6-any)SurvLong_1.5.zip(r-4.5-any)
SurvLong_1.5.tgz(r-4.6-any)SurvLong_1.5.tgz(r-4.5-any)
SurvLong_1.5.tar.gz(r-4.7-any)SurvLong_1.5.tar.gz(r-4.6-any)
SurvLong_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
SurvLong/json (API)

# Install 'SurvLong' in R:
install.packages('SurvLong', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • X - Generated Sparse Longitudinal Data
  • Z - Generated Sparse Longitudinal Data

On CRAN:

Conda:

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

1.00 score 1 stars 5 scripts 552 downloads 4 exports 0 dependencies

Last updated from:1e93396a71. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK152
source / vignettesOK142
linux-release-x86_64OK128
macos-release-arm64OK93
macos-oldrel-arm64OK64
windows-develOK67
windows-releaseOK59
windows-oldrelOK65
wasm-releaseOK84

Exports:fullKernelhalfKernellastValuenearValue

Dependencies: