TULIP
A Toolbox for Linear Discriminant Analysis with Penalties
Integrates several popular high-dimensional methods based on Linear Discriminant Analysis (LDA) and provides a comprehensive and user-friendly toolbox for linear, semi-parametric and tensor-variate classification as mentioned in Yuqing Pan, Qing Mai and Xin Zhang (2019) <arXiv:1904.03469>. Functions are included for covariate adjustment, model fitting, cross validation and prediction.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.2 |
rolling linux/jammy R-4.5 | TULIP_1.0.2.tar.gz |
476.0 KiB |
1.0.2 |
rolling linux/noble R-4.5 | TULIP_1.0.2.tar.gz |
476.9 KiB |
1.0.2 |
rolling source/ R- | TULIP_1.0.2.tar.gz |
291.7 KiB |
1.0.2 |
latest linux/jammy R-4.5 | TULIP_1.0.2.tar.gz |
476.0 KiB |
1.0.2 |
latest linux/noble R-4.5 | TULIP_1.0.2.tar.gz |
476.9 KiB |
1.0.2 |
latest source/ R- | TULIP_1.0.2.tar.gz |
291.7 KiB |
1.0.2 |
2026-04-26 source/ R- | TULIP_1.0.2.tar.gz |
291.7 KiB |
1.0.2 |
2026-04-23 source/ R- | TULIP_1.0.2.tar.gz |
291.7 KiB |
1.0.2 |
2026-04-09 windows/windows R-4.5 | TULIP_1.0.2.zip |
725.7 KiB |
1.0.2 |
2025-04-20 source/ R- | TULIP_1.0.2.tar.gz |
291.7 KiB |