Last updated on 2025-12-04 21:49:36 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.0 | 6.67 | 56.28 | 62.95 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 0.1.0 | 4.71 | 43.87 | 48.58 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 0.1.0 | 35.00 | 64.27 | 99.27 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.0 | 35.00 | 74.80 | 109.80 | ERROR | |
| r-devel-windows-x86_64 | 0.1.0 | 7.00 | 64.00 | 71.00 | OK | |
| r-patched-linux-x86_64 | 0.1.0 | 6.84 | 52.79 | 59.63 | OK | |
| r-release-linux-x86_64 | 0.1.0 | 6.70 | 57.00 | 63.70 | OK | |
| r-release-macos-arm64 | 0.1.0 | OK | ||||
| r-release-macos-x86_64 | 0.1.0 | 6.00 | 46.00 | 52.00 | OK | |
| r-release-windows-x86_64 | 0.1.0 | 9.00 | 63.00 | 72.00 | OK | |
| r-oldrel-macos-arm64 | 0.1.0 | NOTE | ||||
| r-oldrel-macos-x86_64 | 0.1.0 | 5.00 | 37.00 | 42.00 | NOTE | |
| r-oldrel-windows-x86_64 | 0.1.0 | 9.00 | 78.00 | 87.00 | NOTE |
Version: 0.1.0
Check: CRAN incoming feasibility
Result: NOTE
Maintainer: ‘Nailong Zhang <setseed2016@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Nailong",
family = "Zhang",
role = c("aut", "cre"),
email = "setseed2016@gmail.com")
as necessary.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 0.1.0
Check: examples
Result: ERROR
Running examples in ‘dblr-Ex.R’ failed
The error most likely occurred in:
> ### Name: dblr_train
> ### Title: Discrete Boosting Logistic Regression Training
> ### Aliases: dblr_train
>
> ### ** Examples
>
> # use iris data for example
> dat <- iris
> # create two categorical variables
> dat$Petal.Width <- as.factor((iris$Petal.Width<=0.2)*1+(iris$Petal.Width>1.0)*2)
> dat$Sepal.Length <- (iris$Sepal.Length<=3.0)*2+(iris$Sepal.Length>6.0)*1.25
> # create the response variable
> dat$Species <- as.numeric(dat$Species=='versicolor')
> set.seed(123)
> # random sampling
> index <- sample(1:150,100,replace = FALSE)
> # train the dblr model using the training data
> dblr_fit <- dblr_train(train_x=dat[index,c(1:4)],
+ train_y=dat[index,5],category_cols = c('Petal.Width','Sepal.Length'),
+ metric = 'logloss',subsample = 0.5,eta = 0.05,colsample = 1.0,
+ lambda = 1.0,cv_early_stops = 10,verbose=FALSE)
Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), :
Passed unrecognized parameters: metrics. This warning will become an error in a future version.
Error in begin_iteration:end_iteration : argument of length 0
Calls: dblr_train -> <Anonymous>
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 0.1.0
Check: LazyData
Result: NOTE
'LazyData' is specified without a 'data' directory
Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-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.