Package: TULIP
Title: A Toolbox for Linear Discriminant Analysis with Penalties
Version: 1.0.2
Description: 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.
Depends: R (>= 3.1.1)
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: tensr, Matrix, MASS, glmnet, methods
NeedsCompilation: yes
Packaged: 2021-01-04 11:54:22 UTC; ypan
Author: Yuqing Pan <yuqing.pan@stat.fsu.edu>,
	Qing Mai <mai@stat.fsu.edu>,
	Xin Zhang <henry@stat.fsu.edu>
Maintainer: Yuqing Pan <yuqing.pan@stat.fsu.edu>
Repository: CRAN
Date/Publication: 2021-01-04 17:10:06 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 12:44:43 UTC; unix
Archs: TULIP.so.dSYM
