R/RcppExports.R

Defines functions hFunc jeffreys_approx_corr metropCorrRcpp_jeffreys dinvgamma1_Rcpp dinvgamma1_logx_Rcpp ddinvgamma1_Rcpp d2dinvgamma1_Rcpp genhypergeo_series_pos jzs_sampler jzs_log_marginal_posterior_logg jzs_Gibbs GibbsLinearRegRcpp log_determinant_pos_def logSummaryStats log1pExp logExpXplusExpY logExpXminusExpY metropMetaTRcpp metropProportionRcpp gibbsTwoSampleRcpp gibbsOneSampleRcpp

Documented in logSummaryStats

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

hFunc <- function(rho, n, r, hg_checkmod, hg_iter) {
    .Call('_BayesFactor_hFunc', PACKAGE = 'BayesFactor', rho, n, r, hg_checkmod, hg_iter)
}

jeffreys_approx_corr <- function(rho, n, r) {
    .Call('_BayesFactor_jeffreys_approx_corr', PACKAGE = 'BayesFactor', rho, n, r)
}

metropCorrRcpp_jeffreys <- function(r, n, a_prior, b_prior, approx, iterations, doInterval, intervalz, intervalCompl, nullModel, progress, callback, callbackInterval) {
    .Call('_BayesFactor_metropCorrRcpp_jeffreys', PACKAGE = 'BayesFactor', r, n, a_prior, b_prior, approx, iterations, doInterval, intervalz, intervalCompl, nullModel, progress, callback, callbackInterval)
}

dinvgamma1_Rcpp <- function(x, a, b) {
    .Call('_BayesFactor_dinvgamma1_Rcpp', PACKAGE = 'BayesFactor', x, a, b)
}

dinvgamma1_logx_Rcpp <- function(x, a, b) {
    .Call('_BayesFactor_dinvgamma1_logx_Rcpp', PACKAGE = 'BayesFactor', x, a, b)
}

ddinvgamma1_Rcpp <- function(x, a, b) {
    .Call('_BayesFactor_ddinvgamma1_Rcpp', PACKAGE = 'BayesFactor', x, a, b)
}

d2dinvgamma1_Rcpp <- function(x, a, b) {
    .Call('_BayesFactor_d2dinvgamma1_Rcpp', PACKAGE = 'BayesFactor', x, a, b)
}

genhypergeo_series_pos <- function(U, L, z, tol, maxiter, check_mod, check_conds, polynomial) {
    .Call('_BayesFactor_genhypergeo_series_pos', PACKAGE = 'BayesFactor', U, L, z, tol, maxiter, check_mod, check_conds, polynomial)
}

jzs_sampler <- function(iterations, y, X, rscale, gMap, incCont, importanceMu, importanceSig, progress, callback, callbackInterval, which) {
    .Call('_BayesFactor_jzs_sampler', PACKAGE = 'BayesFactor', iterations, y, X, rscale, gMap, incCont, importanceMu, importanceSig, progress, callback, callbackInterval, which)
}

jzs_log_marginal_posterior_logg <- function(q, sumSq, N, XtCnX0, CnytCnX0, rscale, gMap, gMapCounts, priorX, incCont, limit, limits, which) {
    .Call('_BayesFactor_jzs_log_marginal_posterior_logg', PACKAGE = 'BayesFactor', q, sumSq, N, XtCnX0, CnytCnX0, rscale, gMap, gMapCounts, priorX, incCont, limit, limits, which)
}

jzs_Gibbs <- function(iterations, y, X, rscale, sig2start, gMap, gMapCounts, incCont, nullModel, ignoreCols, thin, progress, callback, callbackInterval) {
    .Call('_BayesFactor_jzs_Gibbs', PACKAGE = 'BayesFactor', iterations, y, X, rscale, sig2start, gMap, gMapCounts, incCont, nullModel, ignoreCols, thin, progress, callback, callbackInterval)
}

GibbsLinearRegRcpp <- function(iterations, y, X, r, sig2start, nullModel, progress, callback, callbackInterval) {
    .Call('_BayesFactor_GibbsLinearRegRcpp', PACKAGE = 'BayesFactor', iterations, y, X, r, sig2start, nullModel, progress, callback, callbackInterval)
}

log_determinant_pos_def <- function(A) {
    .Call('_BayesFactor_log_determinant_pos_def', PACKAGE = 'BayesFactor', A)
}

logSummaryStats <- function(x) {
    .Call('_BayesFactor_logSummaryStats', PACKAGE = 'BayesFactor', x)
}

log1pExp <- function(x) {
    .Call('_BayesFactor_log1pExp', PACKAGE = 'BayesFactor', x)
}

logExpXplusExpY <- function(x, y) {
    .Call('_BayesFactor_logExpXplusExpY', PACKAGE = 'BayesFactor', x, y)
}

logExpXminusExpY <- function(x, y) {
    .Call('_BayesFactor_logExpXminusExpY', PACKAGE = 'BayesFactor', x, y)
}

metropMetaTRcpp <- function(t, n1, n2, twoSample, rscale, iterations, doInterval, interval, intervalCompl, nullModel, progress, callback, callbackInterval) {
    .Call('_BayesFactor_metropMetaTRcpp', PACKAGE = 'BayesFactor', t, n1, n2, twoSample, rscale, iterations, doInterval, interval, intervalCompl, nullModel, progress, callback, callbackInterval)
}

metropProportionRcpp <- function(y, n, p0, rscale, iterations, doInterval, interval, intervalCompl, nullModel, progress, callback, callbackInterval) {
    .Call('_BayesFactor_metropProportionRcpp', PACKAGE = 'BayesFactor', y, n, p0, rscale, iterations, doInterval, interval, intervalCompl, nullModel, progress, callback, callbackInterval)
}

gibbsTwoSampleRcpp <- function(ybar, s2, N, rscale, iterations, doInterval, interval, intervalCompl, nullModel, progress, callback, callbackInterval) {
    .Call('_BayesFactor_gibbsTwoSampleRcpp', PACKAGE = 'BayesFactor', ybar, s2, N, rscale, iterations, doInterval, interval, intervalCompl, nullModel, progress, callback, callbackInterval)
}

gibbsOneSampleRcpp <- function(ybar, s2, N, rscale, iterations, doInterval, interval, intervalCompl, nullModel, progress, callback, callbackInterval) {
    .Call('_BayesFactor_gibbsOneSampleRcpp', PACKAGE = 'BayesFactor', ybar, s2, N, rscale, iterations, doInterval, interval, intervalCompl, nullModel, progress, callback, callbackInterval)
}

# Register entry points for exported C++ functions
methods::setLoadAction(function(ns) {
    .Call('_BayesFactor_RcppExport_registerCCallable', PACKAGE = 'BayesFactor')
})

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BayesFactor documentation built on May 2, 2019, 7 a.m.