Last updated on 2023-09-30 08:00:26 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.3.2 | 3.18 | 1274.74 | 1277.92 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.3.2 | 4.13 | 93.18 | 97.31 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 0.3.2 | 165.17 | NOTE | |||
| r-devel-linux-x86_64-fedora-gcc | 0.3.2 | 156.30 | NOTE | |||
| r-devel-windows-x86_64 | 0.3.2 | 7.00 | 111.00 | 118.00 | NOTE | |
| r-patched-linux-x86_64 | 0.3.2 | 6.35 | 123.23 | 129.58 | NOTE | |
| r-release-linux-x86_64 | 0.3.2 | 5.41 | 122.98 | 128.39 | NOTE | |
| r-release-macos-arm64 | 0.3.2 | 51.00 | NOTE | |||
| r-release-macos-x86_64 | 0.3.2 | 83.00 | NOTE | |||
| r-release-windows-x86_64 | 0.3.2 | 7.00 | 129.00 | 136.00 | NOTE | |
| r-oldrel-macos-arm64 | 0.3.2 | 50.00 | NOTE | |||
| r-oldrel-macos-x86_64 | 0.3.2 | 58.00 | NOTE | |||
| r-oldrel-windows-x86_64 | 0.3.2 | 8.00 | 131.00 | 139.00 | NOTE |
Version: 0.3.2
Check: DESCRIPTION meta-information
Result: NOTE
Packages listed in more than one of Depends, Imports, Suggests, Enhances:
‘lattice’ ‘robustbase’
A package should be listed in only one of these fields.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 0.3.2
Check: examples
Result: ERROR
Running examples in ‘cvTools-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: xyplot.cv
> ### Title: X-Y plots of cross-validation results
> ### Aliases: xyplot.cv xyplot.cvSelect xyplot.cvTuning
> ### Keywords: hplot
>
> ### ** Examples
>
> library("robustbase")
> data("coleman")
> set.seed(1234) # set seed for reproducibility
>
> ## set up folds for cross-validation
> folds <- cvFolds(nrow(coleman), K = 5, R = 10)
>
>
> ## compare LS, MM and LTS regression
>
> # perform cross-validation for an LS regression model
> fitLm <- lm(Y ~ ., data = coleman)
> cvFitLm <- cvLm(fitLm, cost = rtmspe,
+ folds = folds, trim = 0.1)
>
> # perform cross-validation for an MM regression model
> fitLmrob <- lmrob(Y ~ ., data = coleman, k.max = 500)
> cvFitLmrob <- cvLmrob(fitLmrob, cost = rtmspe,
+ folds = folds, trim = 0.1)
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
>
> # perform cross-validation for an LTS regression model
> fitLts <- ltsReg(Y ~ ., data = coleman)
> cvFitLts <- cvLts(fitLts, cost = rtmspe,
+ folds = folds, trim = 0.1)
>
> # combine and plot results
> cvFits <- cvSelect(LS = cvFitLm, MM = cvFitLmrob, LTS = cvFitLts)
> cvFits
5-fold CV results:
Fit CV
1 LS 1.775811
2 MM 1.023272
3 LTS 1.165749
Best model:
CV
"MM"
> xyplot(cvFits)
>
>
> ## compare raw and reweighted LTS estimators for
> ## 50% and 75% subsets
>
> # 50% subsets
> fitLts50 <- ltsReg(Y ~ ., data = coleman, alpha = 0.5)
> cvFitLts50 <- cvLts(fitLts50, cost = rtmspe, folds = folds,
+ fit = "both", trim = 0.1)
>
> # 75% subsets
> fitLts75 <- ltsReg(Y ~ ., data = coleman, alpha = 0.75)
> cvFitLts75 <- cvLts(fitLts75, cost = rtmspe, folds = folds,
+ fit = "both", trim = 0.1)
>
> # combine and plot results
> cvFitsLts <- cvSelect("0.5" = cvFitLts50, "0.75" = cvFitLts75)
> cvFitsLts
5-fold CV results:
Fit reweighted raw
1 0.5 1.165749 1.528544
2 0.75 1.011054 1.167683
Best model:
reweighted raw
"0.75" "0.75"
> xyplot(cvFitsLts)
>
>
> ## evaluate MM regression models tuned for
> ## 80%, 85%, 90% and 95% efficiency
> tuning <- list(tuning.psi=c(3.14, 3.44, 3.88, 4.68))
>
> # perform cross-validation
> cvFitsLmrob <- cvTuning(fitLmrob$call, data = coleman,
+ y = coleman$Y, tuning = tuning, cost = rtmspe,
+ folds = folds, costArgs = list(trim = 0.1))
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
Warning in lmrob.S(x, y, control = control) :
find_scale() did not converge in 'maxit.scale' (= 200) iterations with tol=1e-10, last rel.diff=0
> cvFitsLmrob
5-fold CV results:
tuning.psi CV
1 3.14 1.037657
2 3.44 1.031808
3 3.88 1.030184
4 4.68 1.023149
Optimal tuning parameter:
tuning.psi
CV 4.68
>
> # plot results
> xyplot(cvFitsLmrob)
>
>
>
> base::assign(".dptime", (proc.time() - get(".ptime", pos = "CheckExEnv")), pos = "CheckExEnv")
> base::cat("xyplot.cv", base::get(".format_ptime", pos = 'CheckExEnv')(get(".dptime", pos = "CheckExEnv")), "\n", file=base::get(".ExTimings", pos = 'CheckExEnv'), append=TRUE, sep="\t")
> ### * <FOOTER>
> ###
> cleanEx()
> options(digits = 7L)
> base::cat("Time elapsed: ", proc.time() - base::get("ptime", pos = 'CheckExEnv'),"\n")
Time elapsed: 79.453 0.305 93.327 0 0
> grDevices::dev.off()
null device
1
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')
Assertion failure at kmp_runtime.cpp(6918): temp_reg_status_file_name.
OMP: Error #13: Assertion failure at kmp_runtime.cpp(6918).
OMP: Hint Please submit a bug report with this message, compile and run commands used, and machine configuration info including native compiler and operating system versions. Faster response will be obtained by including all program sources. For information on submitting this issue, please see https://bugs.llvm.org/.
Assertion failure at kmp_runtime.cpp(6918): temp_reg_status_file_name.
OMP: Error #13: Assertion failure at kmp_runtime.cpp(6918).
OMP: Hint Please submit a bug report with this message, compile and run commands used, and machine configuration info including native compiler and operating system versions. Faster response will be obtained by including all program sources. For information on submitting this issue, please see https://bugs.llvm.org/.
Killed
Flavor: r-devel-linux-x86_64-debian-clang