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: 2026-10-03 07:01:09 UTC; root
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: https://yuqingxx.r-universe.dev
Date/Publication: 2021-01-04 16:10:06 UTC
RemoteUrl: https://github.com/cran/TULIP
RemoteRef: HEAD
RemoteSha: 0b771e74a228909ea4c3d087655d56e1bb36f220