Last updated on 2026-04-16 00:51:17 CEST.
| Package | ERROR | OK |
|---|---|---|
| SuperLearner | 1 | 13 |
Current CRAN status: ERROR: 1, OK: 13
Version: 2.0-40
Check: examples
Result: ERROR
Running examples in ‘SuperLearner-Ex.R’ failed
The error most likely occurred in:
> ### Name: SL.biglasso
> ### Title: SL wrapper for biglasso
> ### Aliases: SL.biglasso
>
> ### ** Examples
>
>
> data(Boston, package = "MASS")
> Y = Boston$medv
> # Remove outcome from covariate dataframe.
> X = Boston[, -14]
>
> set.seed(1)
>
> # Sample rows to speed up example.
> row_subset = sample(nrow(X), 30)
>
> # Subset rows and columns & use only 2 folds to speed up example.
> sl = SuperLearner(Y[row_subset], X[row_subset, 1:2, drop = FALSE],
+ family = gaussian(), cvControl = list(V = 2),
+ SL.library = "SL.biglasso")
Loading required namespace: biglasso
Failed with error: ‘there is no package called ‘Rcpp’’
Error : loading required package (biglasso) failed
Warning in FUN(X[[i]], ...) : Error in algorithm SL.biglasso
The Algorithm will be removed from the Super Learner (i.e. given weight 0)
Loading required namespace: biglasso
Failed with error: ‘there is no package called ‘Rcpp’’
Error : loading required package (biglasso) failed
Warning in FUN(X[[i]], ...) : Error in algorithm SL.biglasso
The Algorithm will be removed from the Super Learner (i.e. given weight 0)
Error in SuperLearner(Y[row_subset], X[row_subset, 1:2, drop = FALSE], :
All algorithms dropped from library
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 2.0-40
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building ‘Guide-to-SuperLearner.Rmd’ using rmarkdown
Boston package:MASS R Documentation
_<08>H_<08>o_<08>u_<08>s_<08>i_<08>n_<08>g _<08>V_<08>a_<08>l_<08>u_<08>e_<08>s _<08>i_<08>n _<08>S_<08>u_<08>b_<08>u_<08>r_<08>b_<08>s _<08>o_<08>f _<08>B_<08>o_<08>s_<08>t_<08>o_<08>n
_<08>D_<08>e_<08>s_<08>c_<08>r_<08>i_<08>p_<08>t_<08>i_<08>o_<08>n:
The 'Boston' data frame has 506 rows and 14 columns.
_<08>U_<08>s_<08>a_<08>g_<08>e:
Boston
_<08>F_<08>o_<08>r_<08>m_<08>a_<08>t:
This data frame contains the following columns:
'crim'
per capita crime rate by town.
'zn'
proportion of residential land zoned for lots over 25,000
sq.ft.
'indus'
proportion of non-retail business acres per town.
'chas'
Charles River dummy variable (= 1 if tract bounds river; 0
otherwise).
'nox'
nitrogen oxides concentration (parts per 10 million).
'rm'
average number of rooms per dwelling.
'age'
proportion of owner-occupied units built prior to 1940.
'dis'
weighted mean of distances to five Boston employment centres.
'rad'
index of accessibility to radial highways.
'tax'
full-value property-tax rate per $10,000.
'ptratio'
pupil-teacher ratio by town.
'black'
1000(Bk - 0.63)^2 where Bk is the proportion of blacks by
town.
'lstat'
lower status of the population (percent).
'medv'
median value of owner-occupied homes in $1000s.
_<08>S_<08>o_<08>u_<08>r_<08>c_<08>e:
Harrison, D. and Rubinfeld, D.L. (1978) Hedonic prices and the
demand for clean air. _J. Environ. Economics and Management_ *5*,
81-102.
Belsley D.A., Kuh, E. and Welsch, R.E. (1980) _Regression
Diagnostics. Identifying Influential Data and Sources of
Collinearity._ New York: Wiley.
Failed with error: 'there is no package called 'Rcpp''
Quitting from Guide-to-SuperLearner.Rmd:130-152 [indiv-models]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error:
! You have selected glmnet as a library algorithm but either do not have the glmnet package installed or it can not be loaded
---
Backtrace:
▆
1. └─SuperLearner::SuperLearner(...)
2. └─SuperLearner:::.check.SL.library(...)
3. └─SuperLearner:::.SL.require("glmnet", message = "You have selected glmnet as a library algorithm but either do not have the glmnet package installed or it can not be loaded")
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'Guide-to-SuperLearner.Rmd' failed with diagnostics:
You have selected glmnet as a library algorithm but either do not have the glmnet package installed or it can not be loaded
--- failed re-building ‘Guide-to-SuperLearner.Rmd’
SUMMARY: processing the following file failed:
‘Guide-to-SuperLearner.Rmd’
Error: Vignette re-building failed.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang