R/RcppExports.R

In DESeq2: Differential gene expression analysis based on the negative binomial distribution

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

fitDisp <- function(ySEXP, xSEXP, mu_hatSEXP, log_alphaSEXP, log_alpha_prior_meanSEXP, log_alpha_prior_sigmasqSEXP, min_log_alphaSEXP, kappa_0SEXP, tolSEXP, maxitSEXP, usePriorSEXP, weightsSEXP, useWeightsSEXP, weightThresholdSEXP, useCRSEXP) {
    .Call('_DESeq2_fitDisp', PACKAGE = 'DESeq2', ySEXP, xSEXP, mu_hatSEXP, log_alphaSEXP, log_alpha_prior_meanSEXP, log_alpha_prior_sigmasqSEXP, min_log_alphaSEXP, kappa_0SEXP, tolSEXP, maxitSEXP, usePriorSEXP, weightsSEXP, useWeightsSEXP, weightThresholdSEXP, useCRSEXP)
}

fitBeta <- function(ySEXP, xSEXP, nfSEXP, alpha_hatSEXP, contrastSEXP, beta_matSEXP, lambdaSEXP, weightsSEXP, useWeightsSEXP, tolSEXP, maxitSEXP, useQRSEXP, minmuSEXP) {
    .Call('_DESeq2_fitBeta', PACKAGE = 'DESeq2', ySEXP, xSEXP, nfSEXP, alpha_hatSEXP, contrastSEXP, beta_matSEXP, lambdaSEXP, weightsSEXP, useWeightsSEXP, tolSEXP, maxitSEXP, useQRSEXP, minmuSEXP)
}

fitDispGrid <- function(ySEXP, xSEXP, mu_hatSEXP, disp_gridSEXP, log_alpha_prior_meanSEXP, log_alpha_prior_sigmasqSEXP, usePriorSEXP, weightsSEXP, useWeightsSEXP, weightThresholdSEXP, useCRSEXP) {
    .Call('_DESeq2_fitDispGrid', PACKAGE = 'DESeq2', ySEXP, xSEXP, mu_hatSEXP, disp_gridSEXP, log_alpha_prior_meanSEXP, log_alpha_prior_sigmasqSEXP, usePriorSEXP, weightsSEXP, useWeightsSEXP, weightThresholdSEXP, useCRSEXP)
}