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: 1.0.1
Depends: R (≥ 3.1.1)
Imports: tensr, Matrix, MASS, glmnet, methods
Published: 2020-06-29
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


Reference manual: TULIP.pdf
Package source: TULIP_1.0.1.tar.gz
Windows binaries: r-devel: TULIP_1.0.1.zip, r-release: TULIP_1.0.1.zip, r-oldrel: TULIP_1.0.1.zip
macOS binaries: r-release: TULIP_1.0.1.tgz, r-oldrel: TULIP_1.0.1.tgz
Old sources: TULIP archive


Please use the canonical form https://CRAN.R-project.org/package=TULIP to link to this page.