<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>A Toolbox for Linear Discriminant Analysis with Penalties</dc:title>
  <dc:title>R package TULIP version 1.0.2</dc:title>
  <dc: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) &lt;arXiv:1904.03469&gt;. Functions are included for covariate adjustment, model fitting, cross validation and prediction.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1.1)</dc:relation>
  <dc:relation>Imports: tensr, Matrix, MASS, glmnet, methods</dc:relation>
  <dc:creator>Yuqing Pan &lt;yuqing.pan@stat.fsu.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yuqing Pan &lt;yuqing.pan@stat.fsu.edu&gt;,
	Qing Mai &lt;mai@stat.fsu.edu&gt;,
	Xin Zhang &lt;henry@stat.fsu.edu&gt;</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2021-01-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=TULIP</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.TULIP</dc:identifier>
</oai_dc:dc>