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 371 downloads 4 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK86
source / vignettesOK119
linux-releaseOK92
macos-releaseOK81
macos-oldrelOK100
windows-develOK57
windows-releaseOK56
windows-oldrelOK55
wasm-releaseOK84

Exports:fullKernelhalfKernellastValuenearValue

Dependencies: