CRAN Package Check Results for Package localICE

Last updated on 2026-08-04 02:50:49 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
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 3.98 44.97 48.95 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 7.00 67.00 74.00 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 9.00 83.00 92.00 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/Rtmp0e9gRM’ ‘~/tmp/scratch/Rtmp1ywDAq’ ‘~/tmp/scratch/Rtmp2JFEER’ ‘~/tmp/scratch/Rtmp2ZheVx’ ‘~/tmp/scratch/Rtmp2fXpTc’ ‘~/tmp/scratch/Rtmp3Mbu6l’ ‘~/tmp/scratch/Rtmp3fyXHl’ ‘~/tmp/scratch/Rtmp3gTZDU’ ‘~/tmp/scratch/Rtmp4l4eaK’ ‘~/tmp/scratch/Rtmp4mhxHk’ ‘~/tmp/scratch/Rtmp5iY9vP’ ‘~/tmp/scratch/Rtmp5piK1Y’ ‘~/tmp/scratch/Rtmp5ylx9L’ ‘~/tmp/scratch/Rtmp7EMo8Z’ ‘~/tmp/scratch/Rtmp7bv4nh’ ‘~/tmp/scratch/Rtmp8QGc51’ ‘~/tmp/scratch/Rtmp8bvYBo’ ‘~/tmp/scratch/Rtmp8whgdb’ ‘~/tmp/scratch/RtmpAWqcaK’ ‘~/tmp/scratch/RtmpB7SeTe’ ‘~/tmp/scratch/RtmpBiO9XG’ ‘~/tmp/scratch/RtmpC39LNv’ ‘~/tmp/scratch/RtmpClmsHm’ ‘~/tmp/scratch/RtmpEWySoy’ ‘~/tmp/scratch/RtmpF1tI5D’ ‘~/tmp/scratch/RtmpFg9Ckl’ ‘~/tmp/scratch/RtmpFggIdM’ ‘~/tmp/scratch/RtmpGFLeMG’ ‘~/tmp/scratch/RtmpGGoqFN’ ‘~/tmp/scratch/RtmpGX9Cpz’ ‘~/tmp/scratch/RtmpHTpoJT’ ‘~/tmp/scratch/RtmpHWQz2l’ ‘~/tmp/scratch/RtmpJPyPOK’ ‘~/tmp/scratch/RtmpK60UCo’ ‘~/tmp/scratch/RtmpKPQqry’ ‘~/tmp/scratch/RtmpMPMJEB’ ‘~/tmp/scratch/RtmpNGgDVS’ ‘~/tmp/scratch/RtmpNObzpc’ ‘~/tmp/scratch/RtmpNQGmXr’ ‘~/tmp/scratch/RtmpNemawC’ ‘~/tmp/scratch/RtmpNomGKK’ ‘~/tmp/scratch/RtmpPUE234’ ‘~/tmp/scratch/RtmpPj9KdA’ ‘~/tmp/scratch/RtmpReOvw6’ ‘~/tmp/scratch/RtmpRk6hRB’ ‘~/tmp/scratch/RtmpSJM1L2’ ‘~/tmp/scratch/RtmpSnlr6E’ ‘~/tmp/scratch/RtmpTTg9Ck’ ‘~/tmp/scratch/RtmpTfgwVx’ ‘~/tmp/scratch/RtmpTm7wJn’ ‘~/tmp/scratch/RtmpTxeSZU’ ‘~/tmp/scratch/RtmpUS8gBk’ ‘~/tmp/scratch/RtmpVSD742’ ‘~/tmp/scratch/RtmpVv55Qq’ ‘~/tmp/scratch/RtmpXLaZ6J’ ‘~/tmp/scratch/RtmpYkHVUW’ ‘~/tmp/scratch/RtmpZcBSw1’ ‘~/tmp/scratch/RtmpZlbFQv’ ‘~/tmp/scratch/Rtmpa58zCg’ ‘~/tmp/scratch/RtmpaZkJyg’ ‘~/tmp/scratch/Rtmpajm6Kv’ ‘~/tmp/scratch/RtmpapUuN9’ ‘~/tmp/scratch/Rtmpbb5XnV’ ‘~/tmp/scratch/RtmpcPkOOe’ ‘~/tmp/scratch/Rtmpdnl9aU’ ‘~/tmp/scratch/RtmpdoaUuO’ ‘~/tmp/scratch/RtmpdyYJ50’ ‘~/tmp/scratch/RtmpeAmBcV’ ‘~/tmp/scratch/RtmpeTzRzH’ ‘~/tmp/scratch/RtmpeqVGQf’ ‘~/tmp/scratch/RtmpeqauNw’ ‘~/tmp/scratch/RtmpeswnRX’ ‘~/tmp/scratch/RtmpfjSp2D’ ‘~/tmp/scratch/RtmpgTJnkl’ ‘~/tmp/scratch/RtmphWXKFJ’ ‘~/tmp/scratch/Rtmpi91Z13’ ‘~/tmp/scratch/RtmpjCsBO1’ ‘~/tmp/scratch/RtmpjavIcM’ ‘~/tmp/scratch/RtmpjcNonW’ ‘~/tmp/scratch/RtmpjzFj46’ ‘~/tmp/scratch/Rtmpk0prHq’ ‘~/tmp/scratch/RtmpkmMhv8’ ‘~/tmp/scratch/RtmpmWtzr1’ ‘~/tmp/scratch/Rtmpn3Fi7I’ ‘~/tmp/scratch/RtmpoNw7iW’ ‘~/tmp/scratch/RtmposYq6B’ ‘~/tmp/scratch/Rtmpoz3PFV’ ‘~/tmp/scratch/Rtmpp1cMv1’ ‘~/tmp/scratch/RtmprH6LqA’ ‘~/tmp/scratch/RtmprNd9dQ’ ‘~/tmp/scratch/RtmprT8eC3’ ‘~/tmp/scratch/RtmpryieVO’ ‘~/tmp/scratch/RtmptFRU1H’ ‘~/tmp/scratch/Rtmptki5fo’ ‘~/tmp/scratch/RtmptmQRRy’ ‘~/tmp/scratch/Rtmpu99zeG’ ‘~/tmp/scratch/RtmpucXwQ2’ ‘~/tmp/scratch/RtmpvUo6jO’ ‘~/tmp/scratch/RtmpvgWQZT’ ‘~/tmp/scratch/RtmpvgZul8’ ‘~/tmp/scratch/Rtmpvtvbi4’ ‘~/tmp/scratch/Rtmpvv2ivn’ ‘~/tmp/scratch/RtmpwC8bMd’ ‘~/tmp/scratch/RtmpwWSUgL’ ‘~/tmp/scratch/Rtmpwn9mlC’ ‘~/tmp/scratch/RtmpwvMBIP’ ‘~/tmp/scratch/RtmpwxlaBV’ ‘~/tmp/scratch/RtmpxQKz98’ ‘~/tmp/scratch/RtmpyEjOxL’ ‘~/tmp/scratch/Rtmpz8yw1b’ ‘~/tmp/scratch/xvfb-run.1mH6iF’ ‘~/tmp/scratch/xvfb-run.5qD9lu’ ‘~/tmp/scratch/xvfb-run.5sTPUm’ ‘~/tmp/scratch/xvfb-run.A0A70l’ ‘~/tmp/scratch/xvfb-run.And0YT’ ‘~/tmp/scratch/xvfb-run.CHJ4SR’ ‘~/tmp/scratch/xvfb-run.DIM4aC’ ‘~/tmp/scratch/xvfb-run.H2Fn5O’ ‘~/tmp/scratch/xvfb-run.IDr5tq’ ‘~/tmp/scratch/xvfb-run.IQR4ga’ ‘~/tmp/scratch/xvfb-run.K6DuIJ’ ‘~/tmp/scratch/xvfb-run.PGJhYN’ ‘~/tmp/scratch/xvfb-run.QLWFXD’ ‘~/tmp/scratch/xvfb-run.QvZyOa’ ‘~/tmp/scratch/xvfb-run.R6T3kk’ ‘~/tmp/scratch/xvfb-run.RYyXCF’ ‘~/tmp/scratch/xvfb-run.S0gpKw’ ‘~/tmp/scratch/xvfb-run.USfwoa’ ‘~/tmp/scratch/xvfb-run.UzneJg’ ‘~/tmp/scratch/xvfb-run.VTkp5x’ ‘~/tmp/scratch/xvfb-run.WPly36’ ‘~/tmp/scratch/xvfb-run.XScSlO’ ‘~/tmp/scratch/xvfb-run.YGN5AD’ ‘~/tmp/scratch/xvfb-run.cUyqkW’ ‘~/tmp/scratch/xvfb-run.caBImK’ ‘~/tmp/scratch/xvfb-run.crrLRG’ ‘~/tmp/scratch/xvfb-run.dUubJE’ ‘~/tmp/scratch/xvfb-run.heGAEw’ ‘~/tmp/scratch/xvfb-run.ilMXf1’ ‘~/tmp/scratch/xvfb-run.jnOUfZ’ ‘~/tmp/scratch/xvfb-run.k66f6D’ ‘~/tmp/scratch/xvfb-run.kk0VLc’ ‘~/tmp/scratch/xvfb-run.lK5YdQ’ ‘~/tmp/scratch/xvfb-run.lT40yA’ ‘~/tmp/scratch/xvfb-run.lyIlXs’ ‘~/tmp/scratch/xvfb-run.n4Wj5y’ ‘~/tmp/scratch/xvfb-run.nbM0Z6’ ‘~/tmp/scratch/xvfb-run.oYemTW’ ‘~/tmp/scratch/xvfb-run.pW1ZXZ’ ‘~/tmp/scratch/xvfb-run.qD0aqu’ ‘~/tmp/scratch/xvfb-run.t6Z77R’ ‘~/tmp/scratch/xvfb-run.tD5TVG’ ‘~/tmp/scratch/xvfb-run.uK7a2h’ ‘~/tmp/scratch/xvfb-run.xhVUGQ’ ‘~/tmp/scratch/xvfb-run.xlAty1’ ‘~/tmp/scratch/xvfb-run.yG1uez’ ‘~/tmp/scratch/xvfb-run.yTyYrZ’ 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