# tests/testthat/test-pgpd.R In texmex: Statistical Modelling of Extreme Values

```context("pgpd")

test_that("pgpd behaves as it should", {
evd.pgpd <- .evd.pgpd
myTest <- function(sig, xi, thresh, msg){
myp <- sapply(1:nreps,function(i) pgpd(x[,i], sig[i], xi[i],u=thresh[i]))
ep <- sapply(1:nreps, function(i) evd.pgpd(x[,i], loc=thresh[i], scale=sig[i], shape=xi[i]))
expect_equal(ep, myp, label=msg)
} # Close myTest

set.seed(20101111)

#*************************************************************
# 6.7. Test pgpd. Note that .evd.pgpd is NOT vectorized.

nreps <- 100
nsim <- 1000
p <- matrix(runif(2*nreps, -1, 1),ncol=2)
p[, 1] <- p[, 1] + 1
thresh <- rep(0,nreps)

x <- sapply(1:nreps,function(i)rgpd(nsim,sigma=p[i,1],xi=p[i,2],u=thresh[i]))

myTest(sig=p[,1], xi=p[,2],thresh=thresh, msg="pgpd: random xi")

#*************************************************************
# 6.8. Test pgpd when some or all of xi == 0

p[sample(1:nreps,nreps/2),2] <- 0
x <- sapply(1:nreps,function(i)rgpd(nsim,sigma=p[i,1],xi=p[i,2],u=thresh[i]))
myTest(sig=p[,1], xi=p[,2], thresh=thresh, msg="pgpd: some zero xi")

p[,2] <-  0
x <- sapply(1:nreps,function(i)rgpd(nsim,sigma=p[i,1],xi=p[i,2],u=thresh[i]))
myTest(sig=p[,1], xi=p[,2], thresh=thresh, msg="pgpd: all zero xi")

#*************************************************************
# 6.9. Test vectorization of pgpd.

sig <- runif(nsim, 0, 2)
xi <- runif(nsim)
thresh <- rnorm(nsim)

x <- rgpd(nsim, sig, xi,u=thresh)
myp <- pgpd(x, sig, xi,u=thresh)

ep <- sapply(1:nsim, function(i)evd.pgpd(x[i], loc=thresh[i], scale=sig[i], shape=xi[i]))
expect_equal(ep, myp, label="pgpd:vectorisation")

#*************************************************************
# 6.10 test log.p argument

lp <- pgpd(x,sig,xi,u=thresh,log.p=TRUE)
expect_equal(myp, exp(lp), label="pgpd:logprobabilities")

#*************************************************************
# 6.11 test lower tail argument

sp <- pgpd(x,sig,xi,u=thresh,lower.tail=FALSE)
expect_equal(myp, 1-sp, label="pgpd:lowertail")

## check pgpd when q < threshold
upperProb <- pgpd(0, 1, 1, u=0.5, lower.tail=TRUE)
expect_equal(upperProb, 0, label="pgpd:valuebelowthreshold(1)")

lowerProb <- pgpd(0, 1, 1, u=0.5, lower.tail=FALSE)
expect_equal(upperProb, 0, label="pgpd:valuebelowthreshold(2)")

## check pgpd when xi < 0 and value above upper limit

xi <- -2.3
upperProb <- pgpd(-2/xi, 1, xi, u=0, lower.tail=TRUE)
expect_equal(upperProb, 1, label="pgpd:negativexi(1)")

lowerProb <- pgpd(-2/xi, 1, xi, u=0, lower.tail=FALSE)
expect_equal(lowerProb, 0, label="pgpd:negativexi(2)")
}
)
```

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texmex documentation built on May 2, 2019, 5:41 a.m.