Package: SurvLong 1.4

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, Mathew M. Churpek, Donglin Zeng, Jason P. Fine, and Shannon T. Holloway

SurvLong_1.4.tar.gz
SurvLong_1.4.zip(r-4.5)SurvLong_1.4.zip(r-4.4)SurvLong_1.4.zip(r-4.3)
SurvLong_1.4.tgz(r-4.4-any)SurvLong_1.4.tgz(r-4.3-any)
SurvLong_1.4.tar.gz(r-4.5-noble)SurvLong_1.4.tar.gz(r-4.4-noble)
SurvLong_1.4.tgz(r-4.4-emscripten)SurvLong_1.4.tgz(r-4.3-emscripten)
SurvLong.pdf |SurvLong.html
SurvLong/json (API)
NEWS

# Install 'SurvLong' in R:
install.packages('SurvLong', repos = c('https://sth1402.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • X - Generated Sparse Longitudinal Data
  • Z - Generated Sparse Longitudinal Data

On CRAN:

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

4 exports 1 stars 0.36 score 0 dependencies 5 scripts 460 downloads

Last updated 9 months agofrom:59e123ddad. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winOKSep 09 2024
R-4.5-linuxOKSep 09 2024
R-4.4-winOKSep 09 2024
R-4.4-macOKSep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:fullKernelhalfKernellastValuenearValue

Dependencies: