R/RcppExports.R

In BayesDLMfMRI: Statistical Analysis for Task-Based Fmri Data

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

.Group_Functional_Backwards_Sampling <- function(ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, flag1, NIn, NS, Nsimu, CUTpos) {
    .Call(`_BayesDLMfMRI_Group_Functional_Backwards_Sampling`, ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, flag1, NIn, NS, Nsimu, CUTpos)
}

.Gruop_FunctionalTestLT <- function(ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, flag1, NIn, NS, Nsimu, CUTpos) {
    .Call(`_BayesDLMfMRI_Gruop_FunctionalTestLT`, ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, flag1, NIn, NS, Nsimu, CUTpos)
}

.Group_FunctionalMultiTest <- function(ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, flag1, NIn, NS, Nsimu, CUTpos) {
    .Call(`_BayesDLMfMRI_Group_FunctionalMultiTest`, ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, flag1, NIn, NS, Nsimu, CUTpos)
}

.Group_Functional_Equation <- function(ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, flag1, NIn, NS, Nsimu, CUTpos) {
    .Call(`_BayesDLMfMRI_Group_Functional_Equation`, ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, flag1, NIn, NS, Nsimu, CUTpos)
}

.Individual_Backwards_Sampling <- function(ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, NIn, Nsimu, CUTpos) {
    .Call(`_BayesDLMfMRI_Individual_Backwards_Sampling`, ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, NIn, Nsimu, CUTpos)
}

.Individual_FunctionalTestLT <- function(ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, NIn, Nsimu, CUTpos) {
    .Call(`_BayesDLMfMRI_Individual_FunctionalTestLT`, ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, NIn, Nsimu, CUTpos)
}

.Individual_FunctionalMultiTest <- function(ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, NIn, Nsimu, CUTpos) {
    .Call(`_BayesDLMfMRI_Individual_FunctionalMultiTest`, ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, NIn, Nsimu, CUTpos)
}

.Individual_Functional_States <- function(ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, NIn, Nsimu, CUTpos) {
    .Call(`_BayesDLMfMRI_Individual_Functional_States`, ffd1, Cova, m0In, c0In, S0In, beta0In, nt0In, NIn, Nsimu, CUTpos)
}