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) . Functions are included for covariate adjustment, model fitting, cross validation and prediction.


Reference manual

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1.0.2 by Yuqing Pan, a year ago

Browse source code at https://github.com/cran/TULIP

Authors: Yuqing Pan <[email protected]> , Qing Mai <[email protected]> , Xin Zhang <[email protected]>

Documentation:   PDF Manual  

GPL-2 license

Imports tensr, Matrix, MASS, glmnet, methods

See at CRAN