- using R version 2.11.0 Under development (unstable) (2010-01-14 r50981)
- using session charset: UTF-8
- checking for file 'GLDEX/DESCRIPTION' ... OK
- this is package 'GLDEX' version '1.0.3.4'
- checking package name space information ... OK
- checking package dependencies ... OK
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- checking whether package 'GLDEX' can be installed ... OK
- checking package directory ... OK
- checking for portable file names ... OK
- checking for sufficient/correct file permissions ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking index information ... OK
- checking package subdirectories ... OK
- checking R files for non-ASCII characters ... OK
- checking R files for syntax errors ... OK
- checking whether the package can be loaded ... OK
- checking whether the package can be loaded with stated dependencies ... OK
- checking whether the package can be unloaded cleanly ... OK
- checking whether the name space can be loaded with stated dependencies ... OK
- checking whether the name space can be unloaded cleanly ... OK
- checking for unstated dependencies in R code ... OK
- checking S3 generic/method consistency ... OK
- checking replacement functions ... OK
- checking foreign function calls ... OK
- checking R code for possible problems ... OK
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- checking line endings in C/C++/Fortran sources/headers ... OK
- checking line endings in Makefiles ... OK
- checking for portable use of $BLAS_LIBS ... OK
- checking examples ... ERROR
Running examples in 'GLDEX-Ex.R' failed.
The error most likely occurred in:
> ### * GLDEX.package
>
> flush(stderr()); flush(stdout())
>
> ### Name: GLDEX-package
> ### Title: This package fits RS and FMKL generalised lambda distributions
> ### using discretised and maximum likelihood methods. It also provides
> ### functions for fitting bimodal distributions using mixtures of
> ### generalised lambda distributions.
> ### Aliases: GLDEX-package GLDEX
> ### Keywords: distribution smooth
>
> ### ** Examples
>
>
> #### Univariate distributions example:
>
> set.seed(1000)
>
> junk<-rweibull(300,3,2)
>
> ### Using discretised approach, with 50 classes
>
> # Using discretised method with weights
> obj.fit1.hs<-fun.data.fit.hs(junk)
Error in return(p1, p2, p3, p4) :
multi-argument returns are not permitted
Calls: fun.data.fit.hs ... do.call -> fun.rs.perc.sol.alt -> fun.lambda.percentile
Execution halted