R Under development (unstable) (2024-10-01 r87205 ucrt) -- "Unsuffered Consequences"
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> # HEADER ####################################################
> # This is file spam/tests/demo_jss15-Leroux.R.              #
> # It is part of the R package spam,                         #
> #  --> https://CRAN.R-project.org/package=spam              #
> #  --> https://CRAN.R-project.org/package=spam64            #
> #  --> https://git.math.uzh.ch/reinhard.furrer/spam         #
> # by Reinhard Furrer [aut, cre], Florian Gerber [aut],      #
> #    Roman Flury [aut], Daniel Gerber [ctb],                #
> #    Kaspar Moesinger [ctb]                                 #
> # HEADER END ################################################
> 
> options( echo=FALSE)
Spam version 2.11-0 (2024-10-03) is loaded.
Type 'help( Spam)' or 'demo( spam)' for a short introduction 
and overview of this package.
Help for individual functions is also obtained by adding the
suffix '.spam' to the function name, e.g. 'help( chol.spam)'.
Loading required package: stats4

Attaching package: 'stats4'

The following object is masked from 'package:spam':

    mle

Loading required package: evd
[1] 0.9890008 0.9836375 0.9836375 0.9941272 0.9941272 0.9941272
[1] 13.60972 12.22357 14.06278 13.51154 13.66835 12.74985
 [1]  0.115752190 -0.242792156  0.009907357 -0.144865999 -0.000139589
 [6] -0.028916404 -0.032141235 -0.107868843  0.241070191  0.216479530
[11]  0.215633918  0.121392169  0.132614808  0.087540970  0.009744541
[16]  0.033720642  0.156237348  0.044155379  0.272346531  0.040463545
[21]  0.079639678  0.103953125  0.252556753  0.021593753  0.167167125
[26]  0.164189193  0.100494673 -0.213803862  0.117763888 -0.105802996
[31]  0.105966646 -0.099242014 -0.273013722 -0.048069002 -0.043229426
[36] -0.068403094 -0.213240808 -0.168754977 -0.087376979 -0.159318585
[41] -0.066445680 -0.042490650 -0.225786751 -0.311643655 -0.070018302
[46] -0.197298513 -0.172498476 -0.252130284  0.059552503  0.001103394
[51]  0.221565313
> 
> proc.time()
   user  system elapsed 
   1.81    0.31    2.11