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.
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References in zbMATH (referenced in 1 article , 1 standard article )
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- Yuqing Pan, Qing Mai, Xin Zhang: TULIP: A Toolbox for Linear Discriminant Analysis with Penalties (2019) arXiv