Nothing
WeibvPoi <- function(x,Xmin){
fdattype<-"unknow" #First, select method (discrete or continuous) for fitting and test if x is a vector
if( is.vector(x,"numeric") ){ fdattype<-"real" }
if( all(x==floor(x)) && is.vector(x) ){ fdattype<-"integer" }
if( all(x==floor(x)) && min(x) > 1000 && length(x) > 100 ){ fdattype <- "real" }
if( fdattype=="unknow" ){ stop("(WeibvPoi) Error: x must contain only reals or only integers.") }
if( fdattype=="real" ){
WeibvPoi_results<-matrix('Unavailable for continuous',nrow=1,ncol=3)
} #end continuous case
if( fdattype=="integer" ){
#source('weibull.R') #Called upon in discweib.R
#source('discweib.R')
#source('poisson.R')
discweib.d<-discweib.fit(x,Xmin) #Use discweib.R
pois.d<-pois.tail.fit(x,Xmin) #Use poisson.R
discweib.poisson.llr <- function(x,discweib.d,pois.d) {
xmin <- Xmin
shape <- discweib.d$shape
scale <- discweib.d$scale
mean <- pois.d$rate
x <- x[x>=xmin]
suppressWarnings(ddiscweib(x,shape,scale,xmin,log=TRUE)) - dpois.tail(x,threshold=xmin,rate=mean,log=TRUE)
}
discweib.poisson.llr<-discweib.poisson.llr(x,discweib.d,pois.d)
vuong <- function(x) {
n <- length(x)
R <- sum(x)
m <- mean(x)
s <- sd(x)
v <- sqrt(n)*m/s
p1 <- pnorm(v)
if (p1 < 0.5) {p2 <- 2*p1} else {p2 <- 2*(1-p1)}
#list(loglike.ratio=R,mean.LLR = m, sd.LLR = s, Vuong=v, p.one.sided=p1, p.two.sided=p2)
list(loglike.ratio=R,Vuong=v,p.two.sided=p2)
}
WeibvPoi_results<-vuong(discweib.poisson.llr)
} #end discrete case
return(WeibvPoi_results)
} #end WeibvPoi function
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