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>.

Version: 1.1
Imports: lassoshooting (≥ 0.1.5), foreach
Published: 2018-06-27
DOI: 10.32614/CRAN.package.clogitLasso
Author: Marta Avalos, Helene Pouyes, Marius Kwemou and Binbin Xu
Maintainer: Marta Avalos <marta.avalos-fernandez at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
CRAN checks: clogitLasso results


Reference manual: clogitLasso.pdf


Package source: clogitLasso_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): clogitLasso_1.1.tgz, r-oldrel (arm64): clogitLasso_1.1.tgz, r-release (x86_64): clogitLasso_1.1.tgz, r-oldrel (x86_64): clogitLasso_1.1.tgz
Old sources: clogitLasso archive


Please use the canonical form to link to this page.