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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) <arXiv:1904.03469>. Functions are included for covariate adjustment, model fitting, cross validation and prediction.
Getting started
Browse package contents
Package details |
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| Author | Yuqing Pan <yuqing.pan@stat.fsu.edu>, Qing Mai <mai@stat.fsu.edu>, Xin Zhang <henry@stat.fsu.edu> |
| Maintainer | Yuqing Pan <yuqing.pan@stat.fsu.edu> |
| License | GPL-2 |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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