Nothing
context("MR_test")
set.seed(410)
x=rnorm(100)
expect_error(MR_test(x,trend="limear"))
expect_error(MR_test(x,tau=0))
expect_error(MR_test(x,tau=2))
expect_error(MR_test(x,type="SK"))
expect_error(MR_test(x,m=100))
expect_warning(MR_test(x,simu=0,tau=0.1))
x=stats::ts(x)
expect_error(MR_test(x))
x=matrix(1:100,ncol=2)
expect_error(MR_test(x))
#size
test_that("",{
skip_on_cran()
trend = c("none", "linear")
statistic = c("squared", "standard")
serial = c(FALSE,TRUE)
for(a in 1:2){
tr=trend[a]
for(b in 1:2){
st=statistic[b]
for(c in 1:2){
q=0
se=serial[c]
for(i in 1:5){
x=rnorm(75)
mod=MR_test(x,trend=tr,statistic=st,serial=se)
if(b==1){
expect_lt(mod[1,1],mod[1,2]) #critical values should be in ascending order
expect_equal(max(mod[1,4],mod[2,4]),mod[3,4]) #max of test statistics should equal test statistic in both directions
q=q+sum(mod[,4]>mod[,3])
}
if(b==2){
expect_lt(mod[1,2],mod[1,1]) #critical values should be in ascending order
expect_equal(min(mod[1,4],mod[2,4]),mod[3,4]) #max of test statistics should equal test statistic in both directions
q=q+sum(mod[,4]<mod[,3])
}
}
expect_lt(q,11) #test should not reject H0 (which is true) in more than 10 of 15 cases at the 99 percent level
}
}
}
#test has power
for(a in 1:2){
tr=trend[a]
for(b in 1:2){
st=statistic[b]
for(c in 1:2){
q=0
se=serial[c]
for(i in 1:5){
x=pb_sim(100, 0.5, "none", d1=0.1, d2=0.9, mean=0, var=1)
mod=MR_test(x,trend=tr,statistic=st,serial=se)
if(b==1) q=q+sum(mod[,4]>mod[,1])
if(b==2) q=q+sum(mod[,4]<mod[,1])
}
#expect_gt(q,2) #test should reject H0 at least in three of 15 cases at the 90 percent level
}
}
}
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.