R/RcppExports.R

In Biocomb: Feature Selection and Classification with the Embedded Validation Procedures for Biomedical Data Analysis

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

fun1_chi <- function(data, classI) {
    .Call(`_Biocomb_fun1_chi`, data, classI)
}

fun2_chi <- function(int_l, mat_int) {
    .Call(`_Biocomb_fun2_chi`, int_l, mat_int)
}

fun3_chi <- function(chi_s, int_l, datain, chi_value, mat_int) {
    .Call(`_Biocomb_fun3_chi`, chi_s, int_l, datain, chi_value, mat_int)
}

check_incons <- function(data, vrem_nom, cl) {
    .Call(`_Biocomb_check_incons`, data, vrem_nom, cl)
}

fun4_chi <- function(chi_s, int_l, datain, vrem_nominal, chi_attr, sig_attr, cl, mat_int, threshold, df, step, delta, shag) {
    .Call(`_Biocomb_fun4_chi`, chi_s, int_l, datain, vrem_nominal, chi_attr, sig_attr, cl, mat_int, threshold, df, step, delta, shag)
}

forward_path <- function(features, m3) {
    .Call(`_Biocomb_forward_path`, features, m3)
}

CalcGene <- function(s_data, seqAll, prodValue, thresholds) {
    .Call(`_Biocomb_CalcGene`, s_data, seqAll, prodValue, thresholds)
}

CalcROC <- function(s_data, seq, thresholds) {
    .Call(`_Biocomb_CalcROC`, s_data, seq, thresholds)
}