• using R version 3.0.0 (2013-04-03)
• using platform: i686-pc-linux-gnu (32-bit)
• using session charset: UTF-8
• checking for file ‘sparseLTSEigen/DESCRIPTION’ ... OK
• checking extension type ... Package
• this is package ‘sparseLTSEigen’ version ‘0.1.3’
• checking package namespace information ... OK
• checking package dependencies ... OK
• checking if this is a source package ... OK
• checking if there is a namespace ... OK
• checking for executable files ... OK
• checking for hidden files and directories ... OK
• checking for portable file names ... OK
• checking for sufficient/correct file permissions ... OK
• checking whether package ‘sparseLTSEigen’ can be installed ... OK
• checking installed package size ... NOTE
  installed size is 11.2Mb
  sub-directories of 1Mb or more:
  libs 11.1Mb
• checking package directory ... OK
• checking DESCRIPTION meta-information ... OK
• checking top-level files ... OK
• checking for left-over 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 namespace can be loaded with stated dependencies ... OK
• checking whether the namespace can be unloaded cleanly ... OK
• checking loading without being on the library search path ... 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
• checking Rd files ... OK
• checking Rd metadata ... OK
• checking Rd cross-references ... OK
• checking for missing documentation entries ... OK
• checking for code/documentation mismatches ... OK
• checking Rd \usage sections ... OK
• checking Rd contents ... OK
• checking for unstated dependencies in examples ... 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) and $(LAPACK_LIBS) ... OK
• checking compiled code ... OK
• checking examples ... ERROR
  Running examples in ‘sparseLTSEigen-Ex.R’ failed
  The error most likely occurred in:
  
  > ### Name: sparseLTSEigen-package
  > ### Title: RcppEigen back end for sparse least trimmed squares regression
  > ### Aliases: sparseLTSEigen-package sparseLTSEigen .CallSparseLTSEigen
  > ### Keywords: package
  >
  > ### ** Examples
  >
  > # example is not high-dimensional to keep computation time low
  > library("mvtnorm")
  > set.seed(1234) # for reproducibility
  > n <- 100 # number of observations
  > p <- 25 # number of variables
  > beta <- rep.int(c(1, 0), c(5, p-5)) # coefficients
  > sigma <- 0.5 # controls signal-to-noise ratio
  > epsilon <- 0.1 # contamination level
  > Sigma <- 0.5^t(sapply(1:p, function(i, j) abs(i-j), 1:p))
  > x <- rmvnorm(n, sigma=Sigma) # predictor matrix
  > e <- rnorm(n) # error terms
  > i <- 1:ceiling(epsilon*n) # observations to be contaminated
  > e[i] <- e[i] + 5 # vertical outliers
  > y <- c(x %*% beta + sigma * e) # response
  > x[i,] <- x[i,] + 5 # bad leverage points
  >
  > ## fit sparse LTS model
  > # since package sparseLTSEigen is loaded, its back end based on
  > # the C++ library Eigen is used rather than the back end built
  > # into package robustHD, except on 32-bit R for Windows
  > fit <- sparseLTS(x, y, lambda = 0.05, mode = "fraction")
  
  *** caught segfault ***
  address 0xbff61827, cause 'memory not mapped'
  
  Traceback:
  1: .Call(..., PACKAGE = "sparseLTSEigen")
  2: callFun(...)
  3: callBackend("R_sparseSubsets", R_x = x, R_y = y, R_lambda = lambda, R_h = h, R_subsets = subsets, R_intercept = intercept, R_eps = eps, R_useGram = use.Gram)
  4: sparseSubsets(x, y, lambda = lambda, h = h, nsamp = nsamp[1], intercept = intercept, eps = eps, use.Gram = use.Gram)
  5: fastSparseLTS(x = x, y = y, lambda = lambda, h = h, nsamp = nsamp, initial = subsets, intercept = intercept, ncstep = ncstep, tol = tol, eps = eps, use.Gram = use.Gram, ncores = ncores)
  6: sparseLTS.default(x, y, lambda = 0.05, mode = "fraction")
  7: sparseLTS(x, y, lambda = 0.05, mode = "fraction")
  aborting ...