R Under development (unstable) (2024-02-01 r85851 ucrt) -- "Unsuffered Consequences"
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> require("expectreg")
Loading required package: expectreg
Loading required package: parallel
Loading required package: mboost
Loading required package: stabs
Loading required package: BayesX
Loading required package: shapefiles
Loading required package: foreign

Attaching package: 'shapefiles'

The following objects are masked from 'package:foreign':

    read.dbf, write.dbf

Loading required package: Matrix
> 
> set.seed(9484470)
> 
> #expectile
> r <-rnorm(100000)
> e <- expectile(r,seq(0.01, 0.99, 0.1))
> en <- enorm(seq(0.01, 0.99, 0.1))
> stopifnot(max(abs(e-en)) < 0.1)
> 
> 
> #pemq, demq, remq, qemq, eemq
> 
> y <- seq(.01,.99,.01)
> stopifnot(max(abs(eemq(y)-qemq(y)))<.000001)
> 
> e <- eemq(y)
> w <- pemq(e)
> stopifnot(all(0<w & w<1))
> stopifnot(max(abs(y-w))<.0000001)
> 
> r <- remq(1000)
> w <- pemq(r)
> q <- qemq(w)
> stopifnot(max(abs(r-q))<.0000001)
> 
> 
> #enorm,penorm,ebeta, pebeta, eunif, peunif, et, pet, elnorm, pelnorm, egamma,....
> 
> stopifnot(max(abs(penorm(enorm(y))-y))<.000001)
> stopifnot(all(0<penorm(enorm(y)) & penorm(enorm(y))<1))
> 
> stopifnot(max(abs(pebeta(ebeta(y))-y))<.000001)
> stopifnot(all(0<pebeta(ebeta(y)) & pebeta(ebeta(y))<1))
> 
> stopifnot(max(abs(peunif(eunif(y))-y))<.000001)
> stopifnot(all(0<peunif(eunif(y)) & peunif(eunif(y))<1))
> 
> stopifnot(max(abs(pet(et(y,2),2)-y))<.000001)
> stopifnot(all(0<pet(et(y,2),2) & pet(et(y,2),2)<1))
> 
> stopifnot(max(abs(pelnorm(elnorm(y))-y))<.000001)
> stopifnot(all(0<pelnorm(elnorm(y)) & pelnorm(elnorm(y))<1))
> 
> stopifnot(max(abs(pegamma(egamma(y,2),2)-y))<.000001)
> stopifnot(all(0<pegamma(egamma(y,2),2) & pegamma(egamma(y,2),2)<1))
> 
> stopifnot(max(abs(peexp(eexp(y))-y))<.000001)
> stopifnot(all(0<peexp(eexp(y)) & peexp(eexp(y))<1))
> 
> stopifnot(max(abs(pechisq(echisq(y,2),2)-y))<.000001)
> stopifnot(all(0<pechisq(echisq(y,2),2) & pechisq(echisq(y,2),2)<1))
> 
> 
> 
> 
> 
> 
> 
> proc.time()
   user  system elapsed 
   1.67    0.34    2.00