R Under development (unstable) (2024-07-08 r86886 ucrt) -- "Unsuffered Consequences"
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> #'
> #'   Header for all (concatenated) test files
> #'
> #'   Require spatstat.model
> #'   Obtain environment variable controlling tests.
> #'
> #'   $Revision: 1.5 $ $Date: 2020/04/30 05:31:37 $
> 
> require(spatstat.model)
Loading required package: spatstat.model
Loading required package: spatstat.data
Loading required package: spatstat.univar
spatstat.univar 3.0-0
Loading required package: spatstat.geom
spatstat.geom 3.3-2
Loading required package: spatstat.random
spatstat.random 3.3-1
Loading required package: spatstat.explore
Loading required package: nlme
spatstat.explore 3.3-1
Loading required package: rpart
spatstat.model 3.3-1
> FULLTEST <- (nchar(Sys.getenv("SPATSTAT_TEST", unset="")) > 0)
> ALWAYS   <- TRUE
> cat(paste("--------- Executing",
+           if(FULLTEST) "** ALL **" else "**RESTRICTED** subset of",
+           "test code -----------\n"))
--------- Executing **RESTRICTED** subset of test code -----------
> ## 
> ##    tests/percy.R
> ##
> ## Tests of Percus-Yevick approximations
> ##
> ##    $Revision: 1.3 $ $Date: 2020/04/30 05:23:52 $
> 
> if(FULLTEST) {
+ local({
+   fit <- ppm(swedishpines ~1, DiggleGatesStibbard(6))
+   K <- Kmodel(fit)
+ })
+ }
> 
> ##
> ## tests/pixelgripes.R
> ##     Problems related to pixellation of windows
> ##
> ## $Revision: 1.8 $ $Date: 2022/10/23 06:21:10 $
> 
> if(FULLTEST) {
+   local({
+     
+   ## From Philipp Hunziker: bug in rNeymanScott (etc)
+   ## Create an irregular window
+   PM <- matrix(c(1,0,0.5,1,0,0), 3, 2, byrow=TRUE)
+   P <- owin(poly=PM)
+   ## Generate Matern points
+   X <- rMatClust(50, 0.05, 5, win=P)
+   ## Some distance function as a covariate
+   distorigin <- function(x, y) { sqrt(x^2 + y^2) }
+   ## No covariates: works fine
+   fit0 <- kppm(X ~ 1, clusters="MatClust")
+   Y0 <- simulate(fit0, retry=0)
+   ## Covariates: Simulation fails
+   fit1 <- kppm(X ~ distorigin, clusters="MatClust")
+   Y1 <- simulate(fit1, retry=0)
+ 
+ })
+ }
> 
> proc.time()
   user  system elapsed 
   1.59    0.59    2.10