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: |
1.0.2 |
Depends: |
R (≥ 3.1.1) |
Imports: |
tensr, Matrix, MASS, glmnet, methods |
Published: |
2021-01-04 |
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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=TULIP
to link to this page.