Package: multipleNCC 1.2-4
Nathalie C. Stoer
multipleNCC: Weighted Cox-Regression for Nested Case-Control Data
Fit Cox proportional hazard models with a weighted partial likelihood. It handles one or multiple endpoints, additional matching and makes it possible to reuse controls for other endpoints Stoer NC and Samuelsen SO (2016) <doi:10.32614/rj-2016-030>.
Authors:
multipleNCC_1.2-4.tar.gz
multipleNCC_1.2-4.tar.gz(r-4.5-noble)multipleNCC_1.2-4.tar.gz(r-4.4-noble)
multipleNCC_1.2-4.tgz(r-4.4-emscripten)multipleNCC_1.2-4.tgz(r-4.3-emscripten)
multipleNCC.pdf |multipleNCC.html✨
multipleNCC/json (API)
# Install 'multipleNCC' in R: |
install.packages('multipleNCC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- CVD_Accidents - Causes of death in three counties in Norway in 1974-2000
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:e04750950e. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 09 2024 |
R-4.5-linux | NOTE | Dec 09 2024 |
Exports:ChenprobGAMprobGLMprobKMprobModelbasedVarPoststratVarwpl
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Weighted partial likelihood for nested case-control data | multipleNCC-package multipleNCC |
Sampling probabilities estimated with local averaging. | Chenprob |
Causes of death in three counties in Norway in 1974-2000 | CVD_Accidents |
Sampling probabilities estimated with generalized additive models. | GAMprob |
Sampling probabilities estimated with logistic regression. | GLMprob |
Sampling probabilities estimated with a Kaplan-Meier type formula | KMprob |
Modelbased variance using Kaplan-Meier weights | ModelbasedVar |
Internal function | multipleNCC-internal wpl.default wpl.formula wplEst |
Chen-weights | pChen |
Generlaized additive model weights | pGAM |
Logistic regression weights | pGLM |
Kaplan-Meier weights | pKM |
Modelbased variance using Chen-weights | PoststratVar |
Print a wpl object | print.wpl |
Summary method for wpl | summary.wpl |
Weighted partial likelihood for nested case-control data | wpl |