sparse.mint.block_iteration: Perform Sparse Generalized Canonical Correlation (sgccak)

View source: R/stats_spls.R

sparse.mint.block_iterationR Documentation

Perform Sparse Generalized Canonical Correlation (sgccak)

Description

Runs sgccak() modified from RGCCA

Usage

sparse.mint.block_iteration(
  A,
  design,
  study = NULL,
  keepA.constraint = NULL,
  keepA = NULL,
  scheme = "horst",
  init = "svd",
  max.iter = 100,
  tol = 1e-06,
  verbose = TRUE,
  bias = FALSE,
  penalty = NULL
)

Arguments

A

Data

design

Set design

study

Default set to NULL

keepA.constraint

Default set to NULL

keepA

Default set to NULL

scheme

Scheme, default set to "horst"

init

Init mode, default set to "svd"

max.iter

Max number of iterations, numeric, default set to 100

tol

Tolerance, numeric, default set to 1e-06

verbose

Default set to TRUE

bias

Default set to FALSE

penalty

Default set to NULL

Author(s)

Jeff Xia jeff.xia@mcgill.ca McGill University, Canada License: GNU GPL (>= 2)


xia-lab/MetaboAnalystR documentation built on Sept. 12, 2024, 2:23 p.m.