R/RcppExports.R

In aghozlane/DESeq2shaman: Differential gene expression analysis based on the negative binomial distribution

# This file was generated by Rcpp::compileAttributes
# 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, use_priorSEXP) {
    .Call('DESeq2_fitDisp', PACKAGE = 'DESeq2shaman', ySEXP, xSEXP, mu_hatSEXP, log_alphaSEXP, log_alpha_prior_meanSEXP, log_alpha_prior_sigmasqSEXP, min_log_alphaSEXP, kappa_0SEXP, tolSEXP, maxitSEXP, use_priorSEXP)
}

fitBeta <- function(ySEXP, xSEXP, nfSEXP, alpha_hatSEXP, contrastSEXP, beta_matSEXP, lambdaSEXP, tolSEXP, maxitSEXP, useQRSEXP) {
    .Call('DESeq2_fitBeta', PACKAGE = 'DESeq2shaman', ySEXP, xSEXP, nfSEXP, alpha_hatSEXP, contrastSEXP, beta_matSEXP, lambdaSEXP, tolSEXP, maxitSEXP, useQRSEXP)
}

rlogGrid <- function(ySEXP, nfSEXP, betaSEXP, alphaSEXP, interceptSEXP, bgridSEXP, betapriorvarSEXP) {
    .Call('DESeq2_rlogGrid', PACKAGE = 'DESeq2shaman', ySEXP, nfSEXP, betaSEXP, alphaSEXP, interceptSEXP, bgridSEXP, betapriorvarSEXP)
}

fitDispGrid <- function(ySEXP, xSEXP, mu_hatSEXP, disp_gridSEXP, log_alpha_prior_meanSEXP, log_alpha_prior_sigmasqSEXP, use_priorSEXP) {
    .Call('DESeq2_fitDispGrid', PACKAGE = 'DESeq2shaman', ySEXP, xSEXP, mu_hatSEXP, disp_gridSEXP, log_alpha_prior_meanSEXP, log_alpha_prior_sigmasqSEXP, use_priorSEXP)
}