sim.bi.vector

<p>Number of observations in testing data.</p>

tesize

<p>Simulate a binary data set with vector predictor.</p>

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.

Yuqing Pan

sim.bi.vector: Simulate data

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