Package: clogitLasso 1.1
clogitLasso: Sparse Conditional Logistic Regression for Matched Studies
Fit a sequence of conditional logistic regression models with lasso, for small to large sized samples. Avalos, M., Pouyes, H., Grandvalet, Y., Orriols, L., & Lagarde, E. (2015) <doi:10.1186/1471-2105-16-S6-S1>.
Authors:
clogitLasso_1.1.tar.gz
clogitLasso_1.1.tar.gz(r-4.5-noble)clogitLasso_1.1.tar.gz(r-4.4-noble)
clogitLasso_1.1.tgz(r-4.4-emscripten)
clogitLasso.pdf |clogitLasso.html✨
clogitLasso/json (API)
| # Install 'clogitLasso' in R: |
| install.packages('clogitLasso', repos = c('https://mavalosf.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mavalosf/clogitlasso/issues
Last updated 6 years agofrom:4d8f4af9c9. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 15 2024 |
| R-4.5-linux | OK | Oct 15 2024 |
Exports:clogitLassocv.clogitLasso
Dependencies:codetoolsforeachiteratorslassoshooting
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| fit lasso for conditional logistic regression for matched case-control studies | clogitLasso |
| Cross-validation of 'clogitLasso' object | cv.clogitLasso |
| Plot coefficients from a 'clogitLasso' object | plot.clogitLasso |
