R/RcppExports.R

In xrnet: Hierarchical Regularized Regression

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

computeResponseRcpp <- function(X, mattype_x, Fixed, beta0, betas, gammas, response_type, family) {
    .Call(`_xrnet_computeResponseRcpp`, X, mattype_x, Fixed, beta0, betas, gammas, response_type, family)
}

fitModelCVRcpp <- function(x, mattype_x, y, ext, is_sparse_ext, fixed, weights_user, intr, stnd, penalty_type, cmult, quantiles, num_penalty, penalty_ratio, penalty_user, penalty_user_ext, lower_cl, upper_cl, family, user_loss, test_idx, thresh, maxit, ne, nx) {
    .Call(`_xrnet_fitModelCVRcpp`, x, mattype_x, y, ext, is_sparse_ext, fixed, weights_user, intr, stnd, penalty_type, cmult, quantiles, num_penalty, penalty_ratio, penalty_user, penalty_user_ext, lower_cl, upper_cl, family, user_loss, test_idx, thresh, maxit, ne, nx)
}

fitModelRcpp <- function(x, mattype_x, y, ext, is_sparse_ext, fixed, weights_user, intr, stnd, penalty_type, cmult, quantiles, num_penalty, penalty_ratio, penalty_user, penalty_user_ext, lower_cl, upper_cl, family, thresh, maxit, ne, nx) {
    .Call(`_xrnet_fitModelRcpp`, x, mattype_x, y, ext, is_sparse_ext, fixed, weights_user, intr, stnd, penalty_type, cmult, quantiles, num_penalty, penalty_ratio, penalty_user, penalty_user_ext, lower_cl, upper_cl, family, thresh, maxit, ne, nx)
}