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.

Getting started

Package details

AuthorYuqing Pan <[email protected]>, Qing Mai <[email protected]>, Xin Zhang <[email protected]>
MaintainerYuqing Pan <[email protected]>
Package repositoryView on CRAN
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TULIP documentation built on May 2, 2019, 3:23 a.m.