TULIP

A Toolbox for Linear Discriminant Analysis with Penalties

Installation

About

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) . Functions are included for covariate adjustment, model fitting, cross validation and prediction.

Key Metrics

Version	1.0.2
R	≥ 3.1.1
Published	2021-01-04 1218 days ago
Needs compilation?	yes
License	GPL-2
CRAN checks	TULIP results

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Maintainer

Yuqing Pan

yuqing.pan@stat.fsu.edu

Authors

Yuqing Pan
Qing Mai
Xin Zhang

Material

Reference manual
Package source

macOS

r-release	arm64
r-oldrel	arm64
r-release	x86_64
r-oldrel	x86_64

Windows

r-devel	x86_64
r-release	x86_64
r-oldrel	x86_64

Old Sources

TULIP archive

Depends

≥ 3.1.1

Imports

tensr
Matrix
MASS
glmnet
methods