R Under development (unstable) (2023-12-04 r85659 ucrt) -- "Unsuffered Consequences"
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> ## Copyright (C) 2012 Marius Hofert, Ivan Kojadinovic, Martin Maechler, and Jun Yan
> ##
> ## This program is free software; you can redistribute it and/or modify it under
> ## the terms of the GNU General Public License as published by the Free Software
> ## Foundation; either version 3 of the License, or (at your option) any later
> ## version.
> ##
> ## This program is distributed in the hope that it will be useful, but WITHOUT
> ## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
> ## FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
> ## details.
> ##
> ## You should have received a copy of the GNU General Public License along with
> ## this program; if not, see <http://www.gnu.org/licenses/>.
> 
> 
> ###  Generating Exponentially Tilted Stable Random Vars (r ET stable)
> ###  ================================================================
> ###  Experiments with retstable*() versions
> ###
> ###  More (computer intensive) experiments are in
> ###  ../demo/retstable.R
> ###  ~~~~~~~~~~~~~~~~~~~
> 
> require(copula)
Loading required package: copula
> source(system.file("Rsource", "utils.R", package="copula"))
Loading required package: tools
> ##--> tryCatch.W.E(), canGet()
> 
> ## it works for 0-length  V0 as well:
> .N <- numeric(0) ; stopifnot(identical(.N, retstable(1/4, .N)))
> 
> ## This is from "next version of Matrix" test-tools-1.R:
> showSys.time <- function(expr) {
+     ## prepend 'Time' for R CMD Rdiff
+     st <- system.time(expr)
+     writeLines(paste("Time", capture.output(print(st))))
+     invisible(st)
+ }
> 
> ### using both retstableR() and retstable()
> set.seed(1)
> alpha <- .2
> V0 <- rgamma(2^12, 1)
> set.seed(17); showSys.time(rET   <- retstable (alpha, V0)) ## method = default: here takes
Time    user  system elapsed 
Time    0.02    0.00    0.01 
> 							   ##	  983 times "MH",  17 x "LD"
> set.seed(17); showSys.time(rET.H <- retstable (alpha, V0, method= "MH"))
Time    user  system elapsed 
Time       0       0       0 
> set.seed(17); showSys.time(rET.D <- retstable (alpha, V0, method= "LD"))
Time    user  system elapsed 
Time    0.02    0.00    0.02 
> set.seed(17); showSys.time(rET.R <- retstableR(alpha, V0))
Time    user  system elapsed 
Time    0.27    0.00    0.26 
> T <- function(r) r^(1/8) # log() is too much
> bp <- boxplot(T(rET), T(rET.H), T(rET.D), T(rET.R),
+               notch=TRUE, col = "thistle")
> (meds <- bp$stats[3,])
[1] 0.6268907 0.6131906 0.6164955 0.6215219
> 
> ## "H0":  The 4 groups are not different -- here for the medians:
> stopifnot(bp$conf[1,] < meds & meds < bp$conf[2,],
+           bp$stats > 0,
+           abs(bp$stats[2,] - 0.4035) < 0.007, ## first Quartiles
+           abs(bp$stats[4,] - 0.8085) < 0.006) ## 3rd   Quartiles
> 
> proc.time()
   user  system elapsed 
   1.78    0.20    1.92