#' Rn test
#' @export
#' @param x numeric variable
#' @param n.boot numeric variable
# testRn = function(x,n.boot) {
testRn = function(x,n.boot){
Rn = function(z){
Gn = function(t,y){
(sqrt(length(y))*((1/length(y)) * sum(t^y) -
exp(mean(y)*(t-1))))^2
}
i = integrate(f = Vectorize(Gn,vectorize.args = 't'), lower = 0, upper = 1,
y = z)
i$value
}
pv = 0
n = length(x)
lambda.hat=mean(x)
T.obs=Rn(x)
for (i in 1:n.boot){
x.boot=rpois(n,lambda.hat)
T.boot=Rn(x.boot)
pv=pv+as.numeric(T.boot>T.obs)
}
names(T.obs) <- "test statistic"
media = mean(x)
names(media) <- "mean"
e = list(method = paste("Rn poissonity test",
sep = ""),
statistic = T.obs, p.value = pv/n.boot,
data.name = paste("sample size ", n, ", replicates ",
n.boot, sep = ""), estimate = media)
class(e) <- "htest"
e
}
# testRn1 = function(x,n.boot){
# Rn1 = function(z){
# aux = outer(z,z, "+") + 1
# t = sum(1/aux)
# coc1 = t/length(z)
# r = 0
# for (i in 1:length(z)) {
# r = r + ((exp(-mean(z))/((-mean(z))^(z[i] + 1))) * as.numeric(gammainc(a = (z[i] + 1), x = (-mean(z)))[1]))
# }
# coc2 = 2*r
# num3 = length(z) * exp(-2*mean(z))
# den3 = (-2 * mean(z))
# coc3 = (num3/den3)* as.numeric(gammainc(a = 1, x = (-2*mean(z)))[1])
# coc1 - coc2 + coc3
# }
# pv = 0
# n = length(x)
# lambda.hat=mean(x)
# T.obs=Rn1(x)
# for (i in 1:n.boot){
# x.boot=rpois(n,lambda.hat)
# T.boot=Rn1(x.boot)
# pv=pv+as.numeric(T.boot>T.obs)
# }
# names(T.obs) <- "test statistic"
# media = mean(x)
# names(media) <- "mean"
# e = list(method = paste("Rn poissonity test",
# sep = ""),
# statistic = T.obs, p.value = pv/floor(n.boot),
# data.name = paste("sample size ", n, ", replicates ",
# n.boot, sep = ""), estimate = media)
# class(e) <- "htest"
# e
# }
#
# if (length(x) > 10) {
# return(testRn2(x,n.boot))
# }
# else {return(testRn1(x,n.boot))}
# }
#
#
#
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