* using log directory 'd:/Rcompile/CRANpkg/local/2.9/mboost.Rcheck'
* using R version 2.9.2 Patched (2009-09-02 r49531)
* using session charset: ISO8859-1
* checking for file 'mboost/DESCRIPTION' ... OK
* this is package 'mboost' version '1.1-4'
* checking package name space information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking whether package 'mboost' can be installed ... OK
* checking package directory ... OK
* checking for portable file names ... 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 name space can be loaded with stated dependencies ... 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 ... NOTE
cvrisk: no visible binding for global variable 'mclapply'
* checking Rd files ... OK
* checking Rd files against version 2 parser ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking data for non-ASCII characters ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking for portable compilation flags in Makevars ... OK
* checking for portable use of $BLAS_LIBS ... OK
* checking examples ... OK
* checking differences from 'mboost-Ex.Rout' to 'mboost-Ex.Rout.save' ... OK
* checking tests ... ERROR
Running the tests in 'tests/bugfixes.R' failed.
Last 13 lines of output:
  +     stopifnot(max(abs(predict(x[i]) - predict(x, all = TRUE)[,i])) < eps)
  > 
  > x <- blackboost(y ~ ., data = df)
  > for (i in s)
  +     stopifnot(max(abs(predict(x[i]) - predict(x, all = TRUE)[,i])) < eps)
  > 
  > ### negative gradient of GaussClass was incorrectly specified
  > ### negative gradient of GaussClass was incorrectly specified
  > data("BreastCancer", package = "mlbench")
  Error in .find.package(package, lib.loc, verbose = verbose) : 
    there is no package called 'mlbench'
  Calls: data -> .find.package
  Execution halted