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-4.5-any)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'))
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 387 downloads 4 exports 0 dependencies

Last updated 1 years agofrom:59e123ddad. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winNOTEMar 08 2025
R-4.5-macNOTEMar 08 2025
R-4.5-linuxNOTEMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:fullKernelhalfKernellastValuenearValue

Dependencies: