loocv_combi: K-fold CV based on symmetrized prediction error

In OmicsPLS: Data Integration with Two-Way Orthogonal Partial Least Squares

Description

The prediction error of both X~Xhat and Y~Yhat are summed. This provides a symmetrized version of loocv.

Usage

loocv_combi(
  X,
  Y,
  a = 1:2,
  a2 = 1,
  b2 = 1,
  fitted_model = NULL,
  func = o2m,
  app_err = F,
  kcv,
  stripped = TRUE,
  p_thresh = 3000,
  q_thresh = p_thresh,
  tol = 1e-10,
  max_iterations = 100
)

Arguments

X	Numeric matrix. Vectors will be coerced to matrix with as.matrix (if this is possible)
Y	Numeric matrix. Vectors will be coerced to matrix with as.matrix (if this is possible)
a	Vector of integers. Contains the numbers of joint components.
a2	Vector of integers. Contains the numbers of orthogonal components in X.
b2	Vector of integers. Contains the numbers of orthogonal components in Y.
fitted_model	List. Deprecated. O2PLS model fit with o2m. Is used to calculate the apparent error without recalculating this fit.
func	Function to fit the O2PLS model with. Only o2m and o2m_stripped are supported.
app_err	Logical. Deprecated. Should the apparent error also be computed?
kcv	Integer. The value of k, i.e. the number of folds. Choose N for LOO-CV.
stripped	Logical. Use the stripped version of o2m (usually when cross-validating)?
p_thresh	Integer. If X has more than p_thresh columns, a power method optimization is used, see o2m2
q_thresh	Integer. If Y has more than q_thresh columns, a power method optimization is used, see o2m2
tol	Double. Threshold for which the NIPALS method is deemed converged. Must be positive.
max_iterations	Integer. Maximum number of iterations for the NIPALS method.

Details

Note that this function can be easily parallelized (on Windows e.g. with the parallel package.). If there are NAs in the CVerr component, this is due to an error in the fitting.

Value

List with two numeric vectors:

CVerr	Contains the k-fold CV estimated RMSEP
Fiterr	Contains the apparent error

OmicsPLS documentation built on May 19, 2021, 5:08 p.m.