qdapca_cv: Fits qdapca using K-fold cross-validation for rank

In ywwry66/Dimension-Reduction-for-QDA-via-supervised-PCA-R-Package: Dimension Reduction for Quadratic Discriminant Analysis via Supervised Principal Component Analysis

Fits qdapca using K-fold cross-validation for rank

Description

This functions fits Dimension Reduction for Quadratic Discriminant Analysis via Supervised Principal Component Analysis (QDAPCA) using K-fold cross-validation for rank/dimension

Usage

qdapca_cv(
  x,
  y,
  xnew,
  rk = 1:(min(ncol(x), 10, sqrt(nrow(x)))),
  folds = 5,
  seed = 2020,
  standardize = TRUE
)

Arguments

x
y
xnew
rk
folds
seed
standardize

Details

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Author(s)

Ruiyang Wu

ywwry66/Dimension-Reduction-for-QDA-via-supervised-PCA-R-Package documentation built on Nov. 22, 2023, 9:14 p.m.