Last updated on 2025-07-18 03:51:23 CEST.
| Package | ERROR | NOTE | OK |
|---|---|---|---|
| fake | 2 | 11 | |
| sharp | 3 | 3 | 7 |
Current CRAN status: NOTE: 2, OK: 11
Version: 1.4.0
Check: CRAN incoming feasibility
Result: NOTE
Maintainer: ‘Barbara Bodinier <barbara.bodinier@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Barbara",
family = "Bodinier",
role = c("aut", "cre"),
email = "barbara.bodinier@gmail.com")
as necessary.
The Description field contains
(B Bodinier et al (2021) <arXiv:2106.02521>).
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Current CRAN status: ERROR: 3, NOTE: 3, OK: 7
Version: 1.4.7
Check: examples
Result: ERROR
Running examples in ‘sharp-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: SelectionAlgo
> ### Title: Variable selection algorithm
> ### Aliases: SelectionAlgo
>
> ### ** Examples
>
> # Data simulation (univariate outcome)
> set.seed(1)
> simul <- SimulateRegression(pk = 50)
>
> # Running the LASSO
> mylasso <- SelectionAlgo(
+ xdata = simul$xdata, ydata = simul$ydata,
+ Lambda = c(0.1, 0.2), family = "gaussian",
+ )
>
> # Data simulation (multivariate outcome)
> set.seed(1)
> simul <- SimulateRegression(pk = 50, q = 3)
>
> # Running multivariate Gaussian LASSO
> mylasso <- SelectionAlgo(
+ xdata = simul$xdata, ydata = simul$ydata,
+ Lambda = c(0.1, 0.2), family = "mgaussian"
+ )
Error in `[<-`(`*tmp*`, rownames(tmpbeta), colnames(tmpbeta), y_id, value = tmpbeta) :
subscript out of bounds
Calls: SelectionAlgo -> do.call -> <Anonymous>
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
user system elapsed
PredictPLS 5.178 0.111 5.731
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.4.7
Check: examples
Result: ERROR
Running examples in ‘sharp-Ex.R’ failed
The error most likely occurred in:
> ### Name: SelectionAlgo
> ### Title: Variable selection algorithm
> ### Aliases: SelectionAlgo
>
> ### ** Examples
>
> # Data simulation (univariate outcome)
> set.seed(1)
> simul <- SimulateRegression(pk = 50)
>
> # Running the LASSO
> mylasso <- SelectionAlgo(
+ xdata = simul$xdata, ydata = simul$ydata,
+ Lambda = c(0.1, 0.2), family = "gaussian",
+ )
>
> # Data simulation (multivariate outcome)
> set.seed(1)
> simul <- SimulateRegression(pk = 50, q = 3)
>
> # Running multivariate Gaussian LASSO
> mylasso <- SelectionAlgo(
+ xdata = simul$xdata, ydata = simul$ydata,
+ Lambda = c(0.1, 0.2), family = "mgaussian"
+ )
Error in `[<-`(`*tmp*`, rownames(tmpbeta), colnames(tmpbeta), y_id, value = tmpbeta) :
subscript out of bounds
Calls: SelectionAlgo -> do.call -> <Anonymous>
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 1.4.7
Check: package dependencies
Result: NOTE
Package suggested but not available for checking: ‘rCOSA’
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64
Version: 1.4.7
Check: Rd cross-references
Result: NOTE
Package unavailable to check Rd xrefs: ‘rCOSA’
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64