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

In xia-lab/MetaboAnalystR: An R Package for Comprehensive Analysis of Metabolomics Data

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 [e-mail] McGill University, Canada License: GNU GPL (>= 2)

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