Calculate sparse principal components of time-dependent variation on cross-validation

Calculate SPCs for each fold of cross-validation.

zeitzeigerSpcCv(
  fitResultList,
  nTime = 10,
  useSpc = TRUE,
  sumabsv = 1,
  orth = TRUE,
  dopar = TRUE
)

Arguments

fitResultList	Output of `zeitzeigerFitCv()`.
nTime	Number of time-points by which to discretize the time-dependent behavior of each feature. Corresponds to the number of rows in the matrix for which the SPCs will be calculated.
useSpc	Logical indicating whether to use `SPC` (default) or `svd`.
sumabsv	L1-constraint on the SPCs, passed to `SPC`.
orth	Logical indicating whether to require left singular vectors be orthogonal to each other, passed to `SPC`.
dopar	Logical indicating whether to process the folds in parallel. Use `doParallel::registerDoParallel()` to register the parallel backend.

A list consisting of the result from zeitzeigerSpc() for each fold.