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 345 downloads 4 exports 0 dependencies

Last updated 12 months agofrom:59e123ddad. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:fullKernelhalfKernellastValuenearValue

Dependencies: