CRAN Package Check Results for Package localICE

Last updated on 2026-08-03 14:50:57 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	3.69	46.81	50.50	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	5.24	53.31	58.55	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/Rtmp1SC2ap’ ‘~/tmp/scratch/Rtmp1UNaEe’ ‘~/tmp/scratch/Rtmp1UTBkK’ ‘~/tmp/scratch/Rtmp1vcLjD’ ‘~/tmp/scratch/Rtmp1ykMob’ ‘~/tmp/scratch/Rtmp2FCsoM’ ‘~/tmp/scratch/Rtmp2H8n0C’ ‘~/tmp/scratch/Rtmp2kByau’ ‘~/tmp/scratch/Rtmp3zZxsW’ ‘~/tmp/scratch/Rtmp4oKICU’ ‘~/tmp/scratch/Rtmp64oufO’ ‘~/tmp/scratch/Rtmp66vl4D’ ‘~/tmp/scratch/Rtmp6Ipp6q’ ‘~/tmp/scratch/Rtmp7tBpzd’ ‘~/tmp/scratch/Rtmp8WeIza’ ‘~/tmp/scratch/Rtmp8rCbgW’ ‘~/tmp/scratch/Rtmp9NpDia’ ‘~/tmp/scratch/Rtmp9XykaE’ ‘~/tmp/scratch/RtmpAtQ8om’ ‘~/tmp/scratch/RtmpB1J1bv’ ‘~/tmp/scratch/RtmpBQcKRL’ ‘~/tmp/scratch/RtmpBpCXYE’ ‘~/tmp/scratch/RtmpCOeqM3’ ‘~/tmp/scratch/RtmpCibu5f’ ‘~/tmp/scratch/RtmpD6DaFb’ ‘~/tmp/scratch/RtmpDEORIR’ ‘~/tmp/scratch/RtmpDWEEDo’ ‘~/tmp/scratch/RtmpDqixrv’ ‘~/tmp/scratch/RtmpEINAxO’ ‘~/tmp/scratch/RtmpEgajNb’ ‘~/tmp/scratch/RtmpGSPFOk’ ‘~/tmp/scratch/RtmpGiywl2’ ‘~/tmp/scratch/RtmpGukjcd’ ‘~/tmp/scratch/RtmpH2stsK’ ‘~/tmp/scratch/RtmpHE7fZa’ ‘~/tmp/scratch/RtmpHFUoYo’ ‘~/tmp/scratch/RtmpHKNqvF’ ‘~/tmp/scratch/RtmpHYaQql’ ‘~/tmp/scratch/RtmpIajAxO’ ‘~/tmp/scratch/RtmpJ0D7Wc’ ‘~/tmp/scratch/RtmpJ5PbiS’ ‘~/tmp/scratch/RtmpKKlRVv’ ‘~/tmp/scratch/RtmpKaNpV9’ ‘~/tmp/scratch/RtmpL4sIIA’ ‘~/tmp/scratch/RtmpL6T2Ur’ ‘~/tmp/scratch/RtmpLDhLHf’ ‘~/tmp/scratch/RtmpLh48Ee’ ‘~/tmp/scratch/RtmpML8JyK’ ‘~/tmp/scratch/RtmpN2sOCz’ ‘~/tmp/scratch/RtmpNLsdL9’ ‘~/tmp/scratch/RtmpNh1O4F’ ‘~/tmp/scratch/RtmpNtb73E’ ‘~/tmp/scratch/RtmpNwO3Fj’ ‘~/tmp/scratch/RtmpNyAmTf’ ‘~/tmp/scratch/RtmpOk6VYN’ ‘~/tmp/scratch/RtmpOvp4lD’ ‘~/tmp/scratch/RtmpPZKGO9’ ‘~/tmp/scratch/RtmpPe2hO1’ ‘~/tmp/scratch/RtmpPzKMD0’ ‘~/tmp/scratch/RtmpQJADfV’ ‘~/tmp/scratch/RtmpQPbAtO’ ‘~/tmp/scratch/RtmpQg7vmC’ ‘~/tmp/scratch/RtmpQvE5wk’ ‘~/tmp/scratch/RtmpSIPHcU’ ‘~/tmp/scratch/RtmpTw4YVh’ ‘~/tmp/scratch/RtmpU4jP34’ ‘~/tmp/scratch/RtmpUIKnCG’ ‘~/tmp/scratch/RtmpVbUuE5’ ‘~/tmp/scratch/RtmpVo6iDQ’ ‘~/tmp/scratch/RtmpWLsj8C’ ‘~/tmp/scratch/RtmpWp1XUX’ ‘~/tmp/scratch/RtmpWr2HZd’ ‘~/tmp/scratch/RtmpYBKqn8’ ‘~/tmp/scratch/RtmpYMMDeT’ ‘~/tmp/scratch/RtmpYMWgmk’ ‘~/tmp/scratch/RtmpYsQZVQ’ ‘~/tmp/scratch/RtmpZ9iLU7’ ‘~/tmp/scratch/RtmpZJM0dx’ ‘~/tmp/scratch/RtmpbYKYkK’ ‘~/tmp/scratch/RtmpczlKij’ ‘~/tmp/scratch/RtmpdAU5AI’ ‘~/tmp/scratch/RtmpdWAiCf’ ‘~/tmp/scratch/Rtmpdb9F3j’ ‘~/tmp/scratch/RtmpenOHkc’ ‘~/tmp/scratch/RtmpftpuNz’ ‘~/tmp/scratch/Rtmpgnupel’ ‘~/tmp/scratch/RtmphHOykF’ ‘~/tmp/scratch/RtmphaRJsO’ ‘~/tmp/scratch/RtmphhQlCp’ ‘~/tmp/scratch/Rtmpi7JunK’ ‘~/tmp/scratch/RtmpiNtUEP’ ‘~/tmp/scratch/RtmpiOsWsR’ ‘~/tmp/scratch/RtmpikKET9’ ‘~/tmp/scratch/Rtmpjpz9VZ’ ‘~/tmp/scratch/Rtmplcclut’ ‘~/tmp/scratch/RtmplifMcA’ ‘~/tmp/scratch/RtmpmDSMSv’ ‘~/tmp/scratch/RtmpmSWDFW’ ‘~/tmp/scratch/RtmpmulmBw’ ‘~/tmp/scratch/Rtmpmyw3Gd’ ‘~/tmp/scratch/RtmpnoWpDQ’ ‘~/tmp/scratch/RtmpoPWUJx’ ‘~/tmp/scratch/RtmpoWaSMD’ ‘~/tmp/scratch/Rtmpohw43Z’ ‘~/tmp/scratch/Rtmpp2l0VP’ ‘~/tmp/scratch/RtmppQrlig’ ‘~/tmp/scratch/RtmppsmeSc’ ‘~/tmp/scratch/RtmppxG0Yq’ ‘~/tmp/scratch/RtmppydI9X’ ‘~/tmp/scratch/Rtmpq68oqE’ ‘~/tmp/scratch/Rtmpqt3SAM’ ‘~/tmp/scratch/RtmpqvIvK7’ ‘~/tmp/scratch/Rtmpr2RA97’ ‘~/tmp/scratch/RtmprKzTht’ ‘~/tmp/scratch/Rtmps2wN1M’ ‘~/tmp/scratch/RtmpsWJEtC’ ‘~/tmp/scratch/Rtmpsm3Ri5’ ‘~/tmp/scratch/Rtmpt52c8l’ ‘~/tmp/scratch/RtmptNn4sI’ ‘~/tmp/scratch/RtmpuC2E27’ ‘~/tmp/scratch/RtmpuFyORh’ ‘~/tmp/scratch/RtmpuLMy03’ ‘~/tmp/scratch/Rtmpuu5Xnl’ ‘~/tmp/scratch/RtmpvGyVUi’ ‘~/tmp/scratch/RtmpwoFVRH’ ‘~/tmp/scratch/RtmpxTje9E’ ‘~/tmp/scratch/RtmpyTxRbx’ ‘~/tmp/scratch/RtmpzXhwlP’ ‘~/tmp/scratch/xvfb-run.0gZql3’ ‘~/tmp/scratch/xvfb-run.1Ncj1x’ ‘~/tmp/scratch/xvfb-run.1zjfGk’ ‘~/tmp/scratch/xvfb-run.4BvKHQ’ ‘~/tmp/scratch/xvfb-run.4DlA8z’ ‘~/tmp/scratch/xvfb-run.4bXVSo’ ‘~/tmp/scratch/xvfb-run.5GYSnv’ ‘~/tmp/scratch/xvfb-run.6PQ9L8’ ‘~/tmp/scratch/xvfb-run.8ogZEb’ ‘~/tmp/scratch/xvfb-run.9IVoFy’ ‘~/tmp/scratch/xvfb-run.ArI2KJ’ ‘~/tmp/scratch/xvfb-run.C7lHQ4’ ‘~/tmp/scratch/xvfb-run.CcVtZC’ ‘~/tmp/scratch/xvfb-run.EXp1Bw’ ‘~/tmp/scratch/xvfb-run.FJ9g7Z’ ‘~/tmp/scratch/xvfb-run.IcRWGy’ ‘~/tmp/scratch/xvfb-run.Kp56P3’ ‘~/tmp/scratch/xvfb-run.LuoHSf’ ‘~/tmp/scratch/xvfb-run.M0Dc8j’ ‘~/tmp/scratch/xvfb-run.NNX7Wu’ ‘~/tmp/scratch/xvfb-run.NRyKeT’ ‘~/tmp/scratch/xvfb-run.NmKqnU’ ‘~/tmp/scratch/xvfb-run.OveHNo’ ‘~/tmp/scratch/xvfb-run.PdOy4o’ ‘~/tmp/scratch/xvfb-run.S2Hrgk’ ‘~/tmp/scratch/xvfb-run.SchjQo’ ‘~/tmp/scratch/xvfb-run.Sy44H0’ ‘~/tmp/scratch/xvfb-run.UpI8bi’ ‘~/tmp/scratch/xvfb-run.VFMP7o’ ‘~/tmp/scratch/xvfb-run.WXl1bO’ ‘~/tmp/scratch/xvfb-run.XYPIsc’ ‘~/tmp/scratch/xvfb-run.XpGTcg’ ‘~/tmp/scratch/xvfb-run.Zok74D’ ‘~/tmp/scratch/xvfb-run.a68ckp’ ‘~/tmp/scratch/xvfb-run.aMJmge’ ‘~/tmp/scratch/xvfb-run.cz2ZiH’ ‘~/tmp/scratch/xvfb-run.forpTV’ ‘~/tmp/scratch/xvfb-run.fwmHZ1’ ‘~/tmp/scratch/xvfb-run.fxwri2’ ‘~/tmp/scratch/xvfb-run.hjDamk’ ‘~/tmp/scratch/xvfb-run.iZyrJ9’ ‘~/tmp/scratch/xvfb-run.lJ6H6P’ ‘~/tmp/scratch/xvfb-run.nIY5u6’ ‘~/tmp/scratch/xvfb-run.nK6i21’ ‘~/tmp/scratch/xvfb-run.nW0WNC’ ‘~/tmp/scratch/xvfb-run.ncx9qk’ ‘~/tmp/scratch/xvfb-run.pAKmsp’ ‘~/tmp/scratch/xvfb-run.rPyx31’ ‘~/tmp/scratch/xvfb-run.uqy22e’ ‘~/tmp/scratch/xvfb-run.yrQUFR’ ‘~/tmp/scratch/xvfb-run.yzN1Ao’ 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