different_beta_solver: Different beta solvers

In ipapercodes/FGSPCA: Feature Grouping and Sparse Principal Component Analysis (FGSPCA)

Description

Different beta solvers

Usage

different_beta_solver(
  x,
  y,
  lambda2,
  lambda1,
  sparse,
  solver_type = "spcasolver"
)

Arguments

x	the data matrix X_{n\times p}
y	the response vector Y_{n\times 1}
lambda2	λ_2 in the elastic loss function
lambda1	λ_1 in the elastic loss function
sparse	sparse = c("penalty", "varnum")
solver_type	solver_type=c("spcasolver", "lassocd", "glmnet")

Value

the solution β

ipapercodes/FGSPCA documentation built on Dec. 20, 2021, 7:58 p.m.