compute_mrce: Multivariate regression with covariance estimate

In bhattacharya-a-bt/isoTWAS: Isoform-level transcriptome-wide association studies

Multivariate regression with covariance estimate

Description

The function trains multivariate lasso with a given covariance estimate

Usage

compute_mrce(
  X,
  Y,
  lambda = NULL,
  nlambda = 50,
  Omega,
  nfolds = 5,
  tol.in,
  maxit.in,
  verbose,
  seed
)

Arguments

X	matrix, design matrix of SNP dosages
Y	matrix, matrix of G isoform expression across columns
lambda	vector, lambda penalty vector for LASSO to tune on
nlambda	int, number of lambda value for parameter selection
Omega	matrix, precision matrix of Y
nfolds	int, number of CV folds
tol.in	numeric, tolerance for objective difference
maxit.in	int, maximum number of iteractions
verbose	logical
seed	int, random seed

Value

CV MRCE fit

bhattacharya-a-bt/isoTWAS documentation built on Jan. 9, 2025, 10:25 p.m.