glmtlp
Generalized Linear Models with Truncated Lasso Penalty
Extremely efficient procedures for fitting regularization path with l0, l1, and truncated lasso penalty for linear regression and logistic regression models. This version is a completely new version compared with our previous version, which was mainly based on R. New core algorithms are developed and are now written in C++ and highly optimized.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.2 |
rolling source/ R- | glmtlp_2.0.2.tar.gz |
927.4 KiB |
2.0.2 |
rolling linux/jammy R-4.5 | glmtlp_2.0.2.tar.gz |
998.3 KiB |
2.0.2 |
rolling linux/noble R-4.5 | glmtlp_2.0.2.tar.gz |
999.3 KiB |
2.0.2 |
latest source/ R- | glmtlp_2.0.2.tar.gz |
927.4 KiB |
2.0.2 |
latest linux/jammy R-4.5 | glmtlp_2.0.2.tar.gz |
998.3 KiB |
2.0.2 |
latest linux/noble R-4.5 | glmtlp_2.0.2.tar.gz |
999.3 KiB |
2.0.2 |
2026-04-23 source/ R- | glmtlp_2.0.2.tar.gz |
927.4 KiB |
2.0.2 |
2026-04-09 windows/windows R-4.5 | glmtlp_2.0.2.zip |
1.0 MiB |
2.0.2 |
2025-04-20 source/ R- | glmtlp_2.0.2.tar.gz |
927.4 KiB |