R/RcppExports.R

In wush978/gumbelRegression: Implement Functions for Fitting Gumbel Regression

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

.get.loss.cpp.internal <- function(X, y, w) {
    .Call('_gumbelRegression_get_loss', PACKAGE = 'gumbelRegression', X, y, w)
}

.test.loss.cpp <- function(X, y, w0, w, lossType, l2 = 0, foldId = integer(0), foldTarget = 0L) {
    .Call('_gumbelRegression_test_loss', PACKAGE = 'gumbelRegression', X, y, w0, w, lossType, l2, foldId, foldTarget)
}

.get.gradient.cpp.internal <- function(X, y, w) {
    .Call('_gumbelRegression_get_gradient', PACKAGE = 'gumbelRegression', X, y, w)
}

.test.gradient.cpp <- function(X, y, w0, w, lossType, l2 = 0, foldId = integer(0), foldTarget = 0L) {
    .Call('_gumbelRegression_test_gradient', PACKAGE = 'gumbelRegression', X, y, w0, w, lossType, l2, foldId, foldTarget)
}

.get.Hv.cpp.internal <- function(X, y, w, v) {
    .Call('_gumbelRegression_get_Hv', PACKAGE = 'gumbelRegression', X, y, w, v)
}

.test.Hv.cpp <- function(X, y, w0, w, v, lossType, foldId = integer(0), l2 = 0, foldTarget = 0L) {
    .Call('_gumbelRegression_test_Hv', PACKAGE = 'gumbelRegression', X, y, w0, w, v, lossType, foldId, l2, foldTarget)
}

.gumbelRegression.cpp.internal <- function(X, y, foldId, lambdaSeq, tolerance, init_log_sigma, init_intercept, verbose = 0L, parallel = TRUE) {
    .Call('_gumbelRegression_gumbelRegressionCpp', PACKAGE = 'gumbelRegression', X, y, foldId, lambdaSeq, tolerance, init_log_sigma, init_intercept, verbose, parallel)
}