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#' @useDynLib RnaSeqSampleSize generateA2Fx myDnbinom2
#' @importFrom Rcpp sourceCpp
#' @importFrom KEGGREST keggLink
#' @importFrom grDevices rainbow
#' @importFrom graphics abline legend lines points polygon
#' @importFrom stats dnbinom lm pnbinom qbeta qnbinom qnorm
#' @importFrom utils data flush.console
#' @importFrom methods is
#'
generateA2FxR <- function(a,n,phi)
.Call("generateA2Fx",as.double(a),as.double(n),as.double(phi),PACKAGE="RnaSeqSampleSize")
myDnbinomR <- function(a, mu,size,a2Fx)
.Call("myDnbinom2",as.double(a),as.double(mu),as.double(size),as.double(a2Fx[a+1]),PACKAGE="RnaSeqSampleSize")
nb_pvalue_store<-function(X1X0Sum, n, phi, w=1,k=1,a2Fx=NULL) {
a<-0:X1X0Sum
weight<-k*w/(k*w+1)
if(w==1 && k==1){
azanom<-myDnbinomR(a, mu=X1X0Sum/2, size=n/phi,a2Fx=a2Fx)
# anom<-dnbinom(a, mu=(X1X0Sum/2), size=n/phi)
# zanom<-rev(anom)
# azanom<-anom * zanom
}else{
anom<-dnbinom(a, mu=X1X0Sum*(weight), size=n*k/phi)
zanom<-dnbinom(X1X0Sum-a, mu=X1X0Sum*(1-weight),size=n/phi)
azanom<-anom * zanom
}
yy<-azanom/sum(azanom)
return(yy)
}
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