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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) <doi:10.48550/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
DOI: 10.32614/CRAN.package.TULIP
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:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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