TULIP swMATH ID: 28276 Software Authors: Yuqing Pan, Qing Mai, Xin Zhang Description: R package 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. Homepage: https://cran.r-project.org/web/packages/TULIP/index.html Source Code: https://github.com/cran/TULIP Dependencies: R Keywords: arXiv_stat.CO; LDA; Discriminant analysis; penalty; multicategory classification; sparsity; tensor data; R; R package Related Software: penalizedSVM; Matrix; R; tensr; e1071; saa; ranger; limma; glmnet; Bioconductor Cited in: 1 Publication Standard Articles 1 Publication describing the Software Year TULIP: A Toolbox for Linear Discriminant Analysis with Penalties Yuqing Pan, Qing Mai, Xin Zhang 2019 Cited by 1 Author 1 Zhao, Sihai Dave Cited in 1 Serial 1 Statistica Sinica Cited in 2 Fields 1 Statistics (62-XX) 1 Biology and other natural sciences (92-XX) Citations by Year