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.

Version:	1.0.2
Depends:	R (≥ 3.1.1)
Imports:	tensr, Matrix, MASS, glmnet, methods
Published:	2021-01-04
Author:	Yuqing Pan, Qing Mai, Xin Zhang
Maintainer:	Yuqing Pan <yuqing.pan at stat.fsu.edu>
License:	GPL-2
NeedsCompilation:	yes
CRAN checks:	TULIP results

Documentation:

Reference manual:

TULIP.pdf

Downloads:

Package source:	TULIP_1.0.2.tar.gz
Windows binaries:	r-devel: TULIP_1.0.2.zip, r-release: TULIP_1.0.2.zip, r-oldrel: TULIP_1.0.2.zip
macOS binaries:	r-release (arm64): TULIP_1.0.2.tgz, r-oldrel (arm64): TULIP_1.0.2.tgz, r-release (x86_64): TULIP_1.0.2.tgz, r-oldrel (x86_64): TULIP_1.0.2.tgz
Old sources:	TULIP archive

Linking:

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