CRAN Package Check Results for Package robustHD

Last updated on 2019-12-11 09:51:30 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.6.0 116.88 99.48 216.36 OK
r-devel-linux-x86_64-debian-gcc 0.6.0 81.18 74.93 156.11 OK
r-devel-linux-x86_64-fedora-clang 0.6.0 292.03 NOTE
r-devel-linux-x86_64-fedora-gcc 0.6.0 273.53 OK
r-devel-windows-ix86+x86_64 0.6.0 301.00 169.00 470.00 OK
r-devel-windows-ix86+x86_64-gcc8 0.6.0 225.00 183.00 408.00 OK
r-patched-linux-x86_64 0.5.1 87.39 90.10 177.49 OK
r-patched-solaris-x86 0.6.0 262.80 OK
r-release-linux-x86_64 0.6.0 94.19 94.12 188.31 OK
r-release-windows-ix86+x86_64 0.5.1 176.00 86.00 262.00 ERROR
r-release-osx-x86_64 0.6.0 NOTE
r-oldrel-windows-ix86+x86_64 0.5.1 181.00 87.00 268.00 ERROR
r-oldrel-osx-x86_64 0.6.0 NOTE

Additional issues

LTO

Check Details

Version: 0.6.0
Check: installed package size
Result: NOTE
     installed size is 6.4Mb
     sub-directories of 1Mb or more:
     libs 5.8Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-release-osx-x86_64, r-oldrel-osx-x86_64

Version: 0.5.1
Check: running examples for arch ‘i386’
Result: ERROR
    Running examples in 'robustHD-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: AIC.seqModel
    > ### Title: Information criteria for a sequence of regression models
    > ### Aliases: AIC.seqModel AIC.sparseLTS BIC.seqModel BIC.sparseLTS
    > ### Keywords: regression
    >
    > ### ** Examples
    >
    > ## generate data
    > # 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
    >
    >
    > ## robust LARS
    > # fit model
    > fitRlars <- rlars(x, y, sMax = 10)
    Error in rlars.default(x, y, sMax = 10) :
     function 'dataptr' not provided by package 'Rcpp'
    Calls: rlars -> rlars.default
    Execution halted
Flavors: r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.5.1
Check: running examples for arch ‘x64’
Result: ERROR
    Running examples in 'robustHD-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: AIC.seqModel
    > ### Title: Information criteria for a sequence of regression models
    > ### Aliases: AIC.seqModel AIC.sparseLTS BIC.seqModel BIC.sparseLTS
    > ### Keywords: regression
    >
    > ### ** Examples
    >
    > ## generate data
    > # 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
    >
    >
    > ## robust LARS
    > # fit model
    > fitRlars <- rlars(x, y, sMax = 10)
    Error in rlars.default(x, y, sMax = 10) :
     function 'dataptr' not provided by package 'Rcpp'
    Calls: rlars -> rlars.default
    Execution halted
Flavors: r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64