Last updated on 2025-03-11 14:56:01 CET.
| Package | ERROR | NOTE | OK |
|---|---|---|---|
| brif | 1 | 14 | |
| bsnsing | 12 | 3 |
Current CRAN status: ERROR: 1, OK: 14
Version: 1.4.1
Check: examples
Result: ERROR
Running examples in ‘brif-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: brif
> ### Title: Build a model (and make predictions)
> ### Aliases: brif
>
> ### ** Examples
>
> trainset <- sample(1:nrow(iris), 0.5*nrow(iris))
> validset <- setdiff(1:nrow(iris), trainset)
>
> # Train and predict at once
> pred_scores <- brif(Species~., data = iris, subset = trainset,
+ newdata = iris[validset, 1:4], type = 'score')
> pred_labels <- brif(Species~., data = iris, subset = trainset,
+ newdata = iris[validset, 1:4], type = 'class')
>
> # Confusion matrix
> table(pred_labels, iris[validset, 5])
pred_labels setosa versicolor virginica
setosa 22 4 0
versicolor 0 26 2
virginica 0 0 21
>
> # Accuracy
> sum(pred_labels == iris[validset, 5])/length(validset)
[1] 0.92
>
> # Train using the formula format
> bf <- brif(Species~., data = iris, subset = trainset)
>
> # Or equivalently, train using the data.frame format
> bf <- brif(iris[trainset, c(5,1:4)])
>
> # Make a prediction
> pred_scores <- predict(bf, iris[validset, 1:4], type = 'score')
> pred_labels <- predict(bf, iris[validset, 1:4], type = 'class')
>
> # Regression
> bf <- brif(mpg ~., data = mtcars)
> pred <- predict(bf, mtcars[2:11])
*** caught segfault ***
address 0x8, cause 'memory not mapped'
Traceback:
1: rfpredict(object, newdata, as.integer(vote_method), as.integer(nthreads))
2: predict.brif(bf, mtcars[2:11])
3: predict(bf, mtcars[2:11])
An irrecoverable exception occurred. R is aborting now ...
Segmentation fault
Flavor: r-devel-linux-x86_64-debian-clang
Current CRAN status: NOTE: 12, OK: 3
Version: 1.0.1
Check: Rd files
Result: NOTE
checkRd: (-1) bscontrol.Rd:39: Lost braces; missing escapes or markup?
39 | \item{opt.solver}{a character string in the set {'enum', 'enum_c', 'gurobi', 'cplex', 'lpSolve', 'greedy'} indicating the optimization solver to be used in the program. The choice of 'cplex' requires the package \code{cplexAPI}, 'gurobi' requires the package \code{gurobi}, and 'lpSolve' requires the package \code{lpSolve}. These solver options are only available in the full version at \url{https://github.com/profyliu/bsnsing/}. The default (and the best) is 'enum_c'.}
| ^
checkRd: (-1) bscontrol.Rd:45: Lost braces; missing escapes or markup?
45 | \item{opt.model}{a character string in the set {'gini','error'} indicating the optimization model to solve in the program. The default is 'gini'. The 'error' option is not available in the current version.}
| ^
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-macos-arm64, r-devel-macos-x86_64, 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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.