R/RcppExports.R

In tdeenes/eegR: Analyze EEG Signals

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

tfce <- function(input_data, chan_dim, ChN, EH, num_steps, has_negative, has_positive) {
    .Call('_eegR_tfce', PACKAGE = 'eegR', input_data, chan_dim, ChN, EH, num_steps, has_negative, has_positive)
}

consectrueRcpp <- function(x) {
    .Call('_eegR_consectrueRcpp', PACKAGE = 'eegR', x)
}

rleRcpp <- function(x) {
    .Call('_eegR_rleRcpp', PACKAGE = 'eegR', x)
}

charmatCollapse <- function(x, along_dim) {
    .Call('_eegR_charmatCollapse', PACKAGE = 'eegR', x, along_dim)
}

groupsum <- function(x, g, ug) {
    .Call('_eegR_groupsum', PACKAGE = 'eegR', x, g, ug)
}

sweepcol_multitype_cpp <- function(x, y, fun) {
    .Call('_eegR_sweepcol_multitype_cpp', PACKAGE = 'eegR', x, y, fun)
}

sweepcol_double_cpp <- function(x, y, fun) {
    .Call('_eegR_sweepcol_double_cpp', PACKAGE = 'eegR', x, y, fun)
}

sweepcol_logical_cpp <- function(x, y, fun) {
    .Call('_eegR_sweepcol_logical_cpp', PACKAGE = 'eegR', x, y, fun)
}