CRAN Package Check Results for Package localICE

Last updated on 2026-08-01 12:50:43 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	0.1.1	5.00	58.34	63.34	ERROR
r-devel-linux-x86_64-debian-gcc	0.1.1	3.61	45.79	49.40	ERROR
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	ERROR
r-patched-linux-x86_64	0.1.1	5.00	53.32	58.32	ERROR
r-release-linux-x86_64	0.1.1	4.85	52.79	57.64	ERROR
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	8.00	67.00	75.00	ERROR
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	11.00	93.00	104.00	ERROR

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: examples
Result: ERROR Running examples in ‘localICE-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### 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-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.1
Check: for new files in some other directories
Result: NOTE Found the following files/directories: ‘~/tmp/scratch/Rtmp0CFT7x’ ‘~/tmp/scratch/Rtmp1chXJi’ ‘~/tmp/scratch/Rtmp2G5AsK’ ‘~/tmp/scratch/Rtmp2lwMH7’ ‘~/tmp/scratch/Rtmp2tROEK’ ‘~/tmp/scratch/Rtmp2tt897’ ‘~/tmp/scratch/Rtmp2xtav7’ ‘~/tmp/scratch/Rtmp4Iv1mF’ ‘~/tmp/scratch/Rtmp4PPfsB’ ‘~/tmp/scratch/Rtmp4hg80c’ ‘~/tmp/scratch/Rtmp4o8Ags’ ‘~/tmp/scratch/Rtmp52Qfqe’ ‘~/tmp/scratch/Rtmp5phBNq’ ‘~/tmp/scratch/Rtmp6APyc6’ ‘~/tmp/scratch/Rtmp6CfLNC’ ‘~/tmp/scratch/Rtmp7Y2117’ ‘~/tmp/scratch/Rtmp98Utjm’ ‘~/tmp/scratch/Rtmp9WGuFU’ ‘~/tmp/scratch/Rtmp9piHMD’ ‘~/tmp/scratch/RtmpAS6Fu2’ ‘~/tmp/scratch/RtmpAhMN05’ ‘~/tmp/scratch/RtmpAo8cr8’ ‘~/tmp/scratch/RtmpB3Rqqd’ ‘~/tmp/scratch/RtmpBaqaEG’ ‘~/tmp/scratch/RtmpC7cL6f’ ‘~/tmp/scratch/RtmpCAh5J5’ ‘~/tmp/scratch/RtmpDLtIxk’ ‘~/tmp/scratch/RtmpDSibR6’ ‘~/tmp/scratch/RtmpDfVYsh’ ‘~/tmp/scratch/RtmpELS1WW’ ‘~/tmp/scratch/RtmpFQfPG5’ ‘~/tmp/scratch/RtmpFmqMTs’ ‘~/tmp/scratch/RtmpG8B1pf’ ‘~/tmp/scratch/RtmpGMAfl7’ ‘~/tmp/scratch/RtmpGMWSKR’ 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‘~/tmp/scratch/RtmpVt2wSS’ ‘~/tmp/scratch/RtmpWApQxv’ ‘~/tmp/scratch/RtmpXqiSR3’ ‘~/tmp/scratch/RtmpYIXwil’ ‘~/tmp/scratch/RtmpYVO3b3’ ‘~/tmp/scratch/RtmpYfjhkf’ ‘~/tmp/scratch/RtmpYkIzEM’ ‘~/tmp/scratch/RtmpZs0zao’ ‘~/tmp/scratch/Rtmpa0P5DQ’ ‘~/tmp/scratch/RtmpaBotkI’ ‘~/tmp/scratch/RtmpagdPHO’ ‘~/tmp/scratch/RtmpbPCMMW’ ‘~/tmp/scratch/RtmpbSdqvb’ ‘~/tmp/scratch/RtmpccDlan’ ‘~/tmp/scratch/RtmpcqGv1H’ ‘~/tmp/scratch/RtmpcrDUYD’ ‘~/tmp/scratch/RtmpdwjjTy’ ‘~/tmp/scratch/RtmpeDggMd’ ‘~/tmp/scratch/RtmpeZMjfr’ ‘~/tmp/scratch/RtmpeeqTSf’ ‘~/tmp/scratch/RtmpfEaE02’ ‘~/tmp/scratch/RtmpgJ8mUv’ ‘~/tmp/scratch/RtmphDYeWV’ ‘~/tmp/scratch/RtmphS8yYs’ ‘~/tmp/scratch/RtmphZ4Hds’ ‘~/tmp/scratch/RtmphpQy3d’ ‘~/tmp/scratch/RtmpiFh4hB’ ‘~/tmp/scratch/Rtmpigm6ej’ ‘~/tmp/scratch/Rtmpj3KFsr’ ‘~/tmp/scratch/RtmpjyYNlM’ ‘~/tmp/scratch/Rtmpjyxwop’ ‘~/tmp/scratch/Rtmpk2Vyob’ ‘~/tmp/scratch/RtmpmN6ndq’ ‘~/tmp/scratch/Rtmpr7Otth’ ‘~/tmp/scratch/Rtmpr8DDod’ ‘~/tmp/scratch/Rtmpr8f1FY’ ‘~/tmp/scratch/RtmprJkmZu’ ‘~/tmp/scratch/Rtmpsn75hd’ ‘~/tmp/scratch/Rtmpt2dIq9’ ‘~/tmp/scratch/RtmptryLxS’ ‘~/tmp/scratch/RtmptzXoeJ’ ‘~/tmp/scratch/RtmpuCcraE’ ‘~/tmp/scratch/RtmpuXpkG7’ ‘~/tmp/scratch/RtmpubVcKu’ ‘~/tmp/scratch/RtmpwICZJu’ ‘~/tmp/scratch/Rtmpwu9cUR’ ‘~/tmp/scratch/RtmpxaGtwx’ ‘~/tmp/scratch/RtmpxiC35K’ ‘~/tmp/scratch/RtmpzLkBjL’ ‘~/tmp/scratch/RtmpzcZZL6’ ‘~/tmp/scratch/RtmpzfM3Xn’ ‘~/tmp/scratch/RtmpzjVokJ’ ‘~/tmp/scratch/xvfb-run.0BX1R3’ ‘~/tmp/scratch/xvfb-run.0WroDu’ ‘~/tmp/scratch/xvfb-run.0wQsJu’ ‘~/tmp/scratch/xvfb-run.14tnuH’ ‘~/tmp/scratch/xvfb-run.1ASNiD’ ‘~/tmp/scratch/xvfb-run.1sKrTF’ ‘~/tmp/scratch/xvfb-run.2DWKXc’ ‘~/tmp/scratch/xvfb-run.2cr2fN’ ‘~/tmp/scratch/xvfb-run.3kiQZ4’ ‘~/tmp/scratch/xvfb-run.45Jfgk’ ‘~/tmp/scratch/xvfb-run.5D7sTV’ ‘~/tmp/scratch/xvfb-run.7eVTi5’ ‘~/tmp/scratch/xvfb-run.835GLw’ ‘~/tmp/scratch/xvfb-run.AESQnQ’ ‘~/tmp/scratch/xvfb-run.CnhpdB’ ‘~/tmp/scratch/xvfb-run.Cpf7Q3’ ‘~/tmp/scratch/xvfb-run.DBiwgQ’ ‘~/tmp/scratch/xvfb-run.GSChjP’ ‘~/tmp/scratch/xvfb-run.GroXuX’ ‘~/tmp/scratch/xvfb-run.MBArrm’ ‘~/tmp/scratch/xvfb-run.MSXtQ0’ ‘~/tmp/scratch/xvfb-run.OOWiZF’ ‘~/tmp/scratch/xvfb-run.PzQz29’ ‘~/tmp/scratch/xvfb-run.RKcQ6X’ ‘~/tmp/scratch/xvfb-run.RVaXR0’ ‘~/tmp/scratch/xvfb-run.RlABK8’ ‘~/tmp/scratch/xvfb-run.STsYxz’ ‘~/tmp/scratch/xvfb-run.SlpfVN’ ‘~/tmp/scratch/xvfb-run.Thjxm3’ ‘~/tmp/scratch/xvfb-run.TlqknN’ ‘~/tmp/scratch/xvfb-run.Tthcu8’ ‘~/tmp/scratch/xvfb-run.UGWn3h’ ‘~/tmp/scratch/xvfb-run.UdEXBu’ ‘~/tmp/scratch/xvfb-run.VCYel8’ ‘~/tmp/scratch/xvfb-run.XfmRQH’ ‘~/tmp/scratch/xvfb-run.YUGo5i’ ‘~/tmp/scratch/xvfb-run.YeOGkE’ ‘~/tmp/scratch/xvfb-run.bn1JMB’ ‘~/tmp/scratch/xvfb-run.cVNII9’ ‘~/tmp/scratch/xvfb-run.gmv8uS’ ‘~/tmp/scratch/xvfb-run.hOhSLq’ ‘~/tmp/scratch/xvfb-run.kUPxgU’ ‘~/tmp/scratch/xvfb-run.lq6wW6’ ‘~/tmp/scratch/xvfb-run.oQNsBh’ ‘~/tmp/scratch/xvfb-run.ozCIZZ’ ‘~/tmp/scratch/xvfb-run.sRsZb5’ ‘~/tmp/scratch/xvfb-run.utdjH7’ ‘~/tmp/scratch/xvfb-run.v00SVN’ ‘~/tmp/scratch/xvfb-run.wAguc5’ ‘~/tmp/scratch/xvfb-run.xXWGbT’ ‘~/tmp/scratch/xvfb-run.xjX0Xk’ Flavor: 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, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64