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CRAN Package Check Results for Package localICE

Last updated on 2026-07-24 17:51:09 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.1 5.38 61.53 66.91 NOTE
r-devel-linux-x86_64-debian-gcc 0.1.1 3.77 45.81 49.58 NOTE
r-devel-linux-x86_64-fedora-clang 0.1.1 8.00 85.73 93.73 ERROR
r-devel-linux-x86_64-fedora-gcc 0.1.1 40.93 ERROR
r-devel-windows-x86_64 0.1.1 8.00 67.00 75.00 OK
r-patched-linux-x86_64 0.1.1 4.16 56.41 60.57 OK
r-release-linux-x86_64 0.1.1 4.86 55.60 60.46 OK
r-release-macos-arm64 0.1.1 2.00 17.00 19.00 OK
r-release-macos-x86_64 0.1.1 4.00 65.00 69.00 OK
r-release-windows-x86_64 0.1.1 7.00 69.00 76.00 OK
r-oldrel-macos-arm64 0.1.1 OK
r-oldrel-macos-x86_64 0.1.1 3.00 39.00 42.00 OK
r-oldrel-windows-x86_64 0.1.1 9.00 85.00 94.00 OK

Check Details

Version: 0.1.1
Check: CRAN incoming feasibility
Result: NOTE Maintainer: ‘Martin Walter <mf-walter@web.de>’ The Description field contains Pitkin (2013) <arXiv:1309.6392>. 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

Version: 0.1.1
Check: dependencies in R code
Result: NOTE Namespace in Imports field not imported from: ‘checkmate’ All declared Imports should be used. Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.1.1
Check: examples
Result: ERROR Running examples in ‘localICE-Ex.R’ failed The error most likely occurred in: > ### Name: localICE > ### Title: Local Individual Conditional Expectation (localICE) > ### Aliases: localICE > > ### ** Examples > > # Regression example: > if(require("randomForest")){ + rf = randomForest(Sepal.Length ~., data = iris, ntree = 20) + + explanation = localICE( + instance = iris[1, ], + data = iris, + feature_1 = "Species", + feature_2 = "Sepal.Width", + target = "Sepal.Length", + model = rf, + regression = TRUE, + step_2 = 0.1 + ) + plot(explanation) + } Loading required package: randomForest randomForest 4.7-1.2 Type rfNews() to see new features/changes/bug fixes. | | | 0% | |= | 1% | |== | 3% | |=== | 4% | |==== | 6% | |===== | 7% | |====== | 8% | |======= | 10% | |======== | 11% | |========= | 12% | |========== | 14% | |=========== | 15% | |============ | 17% | |============= | 18% | |============== | 19% | |=============== | 21% | |================ | 22% | |================= | 24% | |================== | 25% | |================== | 26% | |=================== | 28% | |==================== | 29% | |===================== | 31% | |====================== | 32% | |======================= | 33% | |======================== | 35% | |========================= | 36% | |========================== | 38% | |=========================== | 39% | |============================ | 40% | |============================= | 42% | |============================== | 43% | |=============================== | 44% | |================================ | 46% | |================================= | 47% | |================================== | 49% | |=================================== | 50% | |==================================== | 51% | |===================================== | 53% | |====================================== | 54% | |======================================= | 56% | |======================================== | 57% | |========================================= | 58% | |========================================== | 60% | |=========================================== | 61% | |============================================ | 62% | |============================================= | 64% | |============================================== | 65% | |=============================================== | 67% | |================================================ | 68% | |================================================= | 69% | |================================================== | 71% | |=================================================== | 72% | |==================================================== | 74% | |==================================================== | 75% | |===================================================== | 76% | |====================================================== | 78% | |======================================================= | 79% | |======================================================== | 81% | |========================================================= | 82% | |========================================================== | 83% | |=========================================================== | 85% | |============================================================ | 86% | |============================================================= | 88% | |============================================================== | 89% | |=============================================================== | 90% | |================================================================ | 92% | |================================================================= | 93% | |================================================================== | 94% | |=================================================================== | 96% | |==================================================================== | 97% | |===================================================================== | 99% | |======================================================================| 100%Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0. ℹ Please use `linewidth` instead. ℹ The deprecated feature was likely used in the localICE package. Please report the issue at <https://github.com/viadee/localICE/issues>. Warning: Use of `point_matrix$target` is discouraged. ℹ Use `target` instead. > > # Classification example: > if(require("randomForest") && require("mlbench")){ + data("PimaIndiansDiabetes") + rf = randomForest(diabetes ~., data = PimaIndiansDiabetes, ntree = 20) + + explanation = localICE( + instance = PimaIndiansDiabetes[8, ], + data = PimaIndiansDiabetes, + feature_1 = "age", + feature_2 = "glucose", + target = "diabetes", + model = rf, + regression = FALSE, + step_1 = 5, + step_2 = 5 + ) + plot(explanation) + } Loading required package: mlbench Warning in data("PimaIndiansDiabetes") : data set ‘PimaIndiansDiabetes’ not found Error in eval(m$data, parent.frame()) : object 'PimaIndiansDiabetes' not found Calls: randomForest -> randomForest.formula -> eval -> eval Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

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