The function trains multivariate lasso with a given covariance estimate
Usage
compute_fixed(X, Y, lam2, Omega, tol.in, maxit.in, silent)
Arguments
- X
matrix, design matrix of SNP dosages
- Y
matrix, matrix of G isoform expression across columns
- lam2
numeric, lambda penalty for LASSO
- Omega
matrix, precision matrix of Y
- tol.in
numeric, tolerance for objective difference
- maxit.in
int, maximum number of iteractions
- silent
logical
Value
list of MRCE estimates