CRAN Package Check Results for Package localModel

Last updated on 2026-04-30 20:49:08 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.5 4.32 96.57 100.89 OK
r-devel-linux-x86_64-debian-gcc 0.5 3.93 69.13 73.06 OK
r-devel-linux-x86_64-fedora-clang 0.5 9.00 146.62 155.62 OK
r-devel-linux-x86_64-fedora-gcc 0.5 9.00 156.83 165.83 OK
r-devel-windows-x86_64 0.5 13.00 99.00 112.00 OK
r-patched-linux-x86_64 0.5 5.33 86.57 91.90 OK
r-release-linux-x86_64 0.5 5.64 86.51 92.15 OK
r-release-macos-arm64 0.5 2.00 30.00 32.00 OK
r-release-macos-x86_64 0.5 5.00 124.00 129.00 OK
r-release-windows-x86_64 0.5 9.00 101.00 110.00 OK
r-oldrel-macos-arm64 0.5 OK
r-oldrel-macos-x86_64 0.5 3.00 82.00 85.00 OK
r-oldrel-windows-x86_64 0.5 10.00 124.00 134.00 ERROR

Check Details

Version: 0.5
Check: tests
Result: ERROR Running 'testthat.R' [10s] Running the tests in 'tests/testthat.R' failed. Complete output: > library(testthat) > library(localModel) > library(DALEX) Welcome to DALEX (version: 2.5.3). Find examples and detailed introduction at: http://ema.drwhy.ai/ Additional features will be available after installation of: ggpubr. Use 'install_dependencies()' to get all suggested dependencies > library(randomForest) randomForest 4.7-1.2 Type rfNews() to see new features/changes/bug fixes. > > test_check("localModel") Preparation of a new explainer is initiated -> model label : randomForest ( <1b>[33m default <1b>[39m ) -> data : 500 rows 6 cols -> target variable : not specified! ( <1b>[31m WARNING <1b>[39m ) -> predict function : yhat.randomForest will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package randomForest , ver. 4.7.1.2 , task multiclass ( <1b>[33m default <1b>[39m ) -> model_info : Model info detected multiclass task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m ) -> model_info : By deafult multiclass tasks supports only factor 'y' parameter. -> model_info : Consider changing to a factor vector with true class names. -> model_info : Otherwise I will not be able to calculate residuals or loss function. -> predicted values : predict function returns multiple columns: 3 ( <1b>[33m default <1b>[39m ) -> residual function : difference between 1 and probability of true class ( <1b>[33m default <1b>[39m ) <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : randomForest ( <1b>[33m default <1b>[39m ) -> data : 500 rows 6 cols -> target variable : not specified! ( <1b>[31m WARNING <1b>[39m ) -> predict function : yhat.randomForest will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package randomForest , ver. 4.7.1.2 , task regression ( <1b>[33m default <1b>[39m ) -> model_info : Model info detected regression task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m ) -> model_info : By deafult regressions tasks supports only numercical 'y' parameter. -> model_info : Consider changing to numerical vector. -> model_info : Otherwise I will not be able to calculate residuals or loss function. -> predicted values : numerical, min = 1957.929 , mean = 3500.78 , max = 5686.685 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) <1b>[32m A new explainer has been created! <1b>[39m Saving _problems/test_generic-11.R Preparation of a new explainer is initiated -> model label : randomForest ( <1b>[33m default <1b>[39m ) -> data : 500 rows 6 cols -> target variable : not specified! ( <1b>[31m WARNING <1b>[39m ) -> predict function : yhat.randomForest will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package randomForest , ver. 4.7.1.2 , task classification ( <1b>[33m default <1b>[39m ) -> model_info : Model info detected classification task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m ) -> model_info : By deafult classification tasks supports only numercical 'y' parameter. -> model_info : Consider changing to numerical vector with 0 and 1 values. -> model_info : Otherwise I will not be able to calculate residuals or loss function. -> predicted values : numerical, min = 0 , mean = 0.4576 , max = 1 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) <1b>[32m A new explainer has been created! <1b>[39m Preparation of a new explainer is initiated -> model label : lm ( <1b>[33m default <1b>[39m ) -> data : 500 rows 6 cols -> target variable : not specified! ( <1b>[31m WARNING <1b>[39m ) -> predict function : yhat.glm will be used ( <1b>[33m default <1b>[39m ) -> predicted values : No value for predict function target column. ( <1b>[33m default <1b>[39m ) -> model_info : package stats , ver. 4.5.3 , task classification ( <1b>[33m default <1b>[39m ) -> model_info : Model info detected classification task but 'y' is a NULL . ( <1b>[31m WARNING <1b>[39m ) -> model_info : By deafult classification tasks supports only numercical 'y' parameter. -> model_info : Consider changing to numerical vector with 0 and 1 values. -> model_info : Otherwise I will not be able to calculate residuals or loss function. -> predicted values : numerical, min = 0.009202999 , mean = 0.464 , max = 0.9979422 -> residual function : difference between y and yhat ( <1b>[33m default <1b>[39m ) <1b>[32m A new explainer has been created! <1b>[39m [ FAIL 1 | WARN 1 | SKIP 0 | PASS 19 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure ('test_generic.R:7:3'): Plots work with different geoms ───────────── Expected `{ ... }` to run silently. Actual noise: messages. [ FAIL 1 | WARN 1 | SKIP 0 | PASS 19 ] Error: ! Test failures. Execution halted Flavor: r-oldrel-windows-x86_64