Package: weightedScores 0.9.5.3
Aristidis K. Nikoloulopoulos
weightedScores: Weighted Scores Method for Regression Models with Dependent Data
The weighted scores method and composite likelihood information criteria as an intermediate step for variable/correlation selection for longitudinal ordinal and count data in Nikoloulopoulos, Joe and Chaganty (2011) <doi:10.1093/biostatistics/kxr005>, Nikoloulopoulos (2016) <doi:10.1002/sim.6871> and Nikoloulopoulos (2017) <arxiv:1510.07376>.
Authors:
weightedScores_0.9.5.3.tar.gz
weightedScores_0.9.5.3.tar.gz(r-4.5-noble)weightedScores_0.9.5.3.tar.gz(r-4.4-noble)
weightedScores_0.9.5.3.tgz(r-4.4-emscripten)weightedScores_0.9.5.3.tgz(r-4.3-emscripten)
weightedScores.pdf |weightedScores.html✨
weightedScores/json (API)
| # Install 'weightedScores' in R: |
| install.packages('weightedScores', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- arthritis - Rheumatoid Arthritis Clinical Trial
- childvisit - Hospital Visit Data
- toenail - The toenail infection data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:67036c4178. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 27 2024 |
Exports:approxbvncdfbclbcl.ordcl1cl1.ordclicclic1dePardmargmodeldmargmodel.ordgodambegodambe.ordieeiee.ordmvn.deriv.marginmvn.deriv.rhomvnapppmargmodelpmargmodel.ordscoreCovscoreCov.ordsolvewtscsolvewtsc.ordweightMatweightMat.ordwtsc.ord.wrapperwtsc.wrapper
