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) <doi:10.48550/arXiv.1904.03469>. Functions are included for covariate adjustment, model fitting, cross validation and prediction.
- Version1.0.2
- R version≥ 3.1.1
- LicenseGPL-2
- Needs compilation?Yes
- Last release01/04/2021
Team
Yuqing Pan
Xin Zhang
Qing Mai
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- Imports4 packages