Calculates the objective function values.
rcpp_fit_fun(
ImpCov,
SampCov,
type2,
lambda,
gamma,
pen_vec,
pen_diff,
e_alpha,
rlasso_pen,
pen_vec1,
pen_vec2,
dual_pen1,
dual_pen2
)
expected covariance matrix.
Sample covariance matrix.
penalty type.
penalty value.
additional penalty for mcp and scad
vector of penalized parameters.
Vector of values to take deviation from.
Alpha for elastic net
Alpha for rlasso2
vector of penalized parameters for lasso penalty.
vector of penalized parameters for ridge penalty.
vector of penalized parameters for lasso penalty.
vector of penalized parameters for ridge penalty.