predict.SeSDA

An object returned by <code>SeSDA</code>.

object

An n by p matrix containing the predictors.

x.test

Other arguments that can be passed to <code>predict</code>.

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Predict the class labels by semiparametric sparse discriminant analysis.

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.

predict.SeSDA: Prediction for semiparametric sparse discriminant analysis

Description

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See Also