R package 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.
Keywords for this software
References in zbMATH (referenced in 2 articles , 1 standard article )
Showing results 1 to 2 of 2.
- Zhao, Sihai Dave: Simultaneous estimation of normal means with side information (2021)
- Yuqing Pan, Qing Mai, Xin Zhang: TULIP: A Toolbox for Linear Discriminant Analysis with Penalties (2019) arXiv