Package: geeVerse 0.2.2
geeVerse: A Comprehensive Analysis of High Dimensional Longitudinal Data
To provide a comprehensive analysis of high dimensional longitudinal data,this package provides analysis for any combination of 1) simultaneous variable selection and estimation, 2) mean regression or quantile regression for heterogeneous data, 3) cross-sectional or longitudinal data, 4) balanced or imbalanced data, 5) moderate, high or even ultra-high dimensional data, via computationally efficient implementations of penalized generalized estimating equations.
Authors:
geeVerse_0.2.2.tar.gz
geeVerse_0.2.2.zip(r-4.5)geeVerse_0.2.2.zip(r-4.4)geeVerse_0.2.2.zip(r-4.3)
geeVerse_0.2.2.tgz(r-4.4-x86_64)geeVerse_0.2.2.tgz(r-4.4-arm64)geeVerse_0.2.2.tgz(r-4.3-x86_64)geeVerse_0.2.2.tgz(r-4.3-arm64)
geeVerse_0.2.2.tar.gz(r-4.5-noble)geeVerse_0.2.2.tar.gz(r-4.4-noble)
geeVerse_0.2.2.tgz(r-4.4-emscripten)geeVerse_0.2.2.tgz(r-4.3-emscripten)
geeVerse.pdf |geeVerse.html✨
geeVerse/json (API)
# Install 'geeVerse' in R: |
install.packages('geeVerse', repos = c('https://zzz1990771.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zzz1990771/geeverse/issues
Last updated 11 days agofrom:119b5dea10. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win-x86_64 | OK | Nov 12 2024 |
R-4.5-linux-x86_64 | OK | Nov 12 2024 |
R-4.4-win-x86_64 | OK | Nov 12 2024 |
R-4.4-mac-x86_64 | OK | Nov 12 2024 |
R-4.4-mac-aarch64 | OK | Nov 12 2024 |
R-4.3-win-x86_64 | OK | Nov 12 2024 |
R-4.3-mac-x86_64 | OK | Nov 12 2024 |
R-4.3-mac-aarch64 | OK | Nov 12 2024 |
Exports:compile_resultCVfitgenerateDataPGEEqpgeeqpgee.estSiga_cov
Dependencies:codetoolsdoParallelforeachiteratorslatticeMASSMatrixMatrixModelsmvtnormquantregRcppRcppEigenSparseMsurvival