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.

1.00 score 1 stars 5 scripts 321 downloads 4 exports 0 dependencies

Last updated 1 years agofrom:59e123ddad. Checks:7 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 07 2025
R-4.5-winOKJan 07 2025
R-4.5-linuxOKJan 07 2025
R-4.4-winOKJan 07 2025
R-4.4-macOKJan 07 2025
R-4.3-winOKJan 07 2025
R-4.3-macOKJan 07 2025

Exports:fullKernelhalfKernellastValuenearValue

Dependencies: