• using R Under development (unstable) (2026-07-23 r90295)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     gcc-16 (Debian 16.1.0-2) 16.1.0     GNU Fortran (Debian 16.1.0-2) 16.1.0
• running under: Debian GNU/Linux forky/sid
• using session charset: UTF-8 * current time: 2026-07-24 15:45:45 UTC
• checking for file ‘localICE/DESCRIPTION’ ... OK
• checking extension type ... Package
• this is package ‘localICE’ version ‘0.1.1’
• package encoding: UTF-8
• checking CRAN incoming feasibility ... [2s/2s] 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>.
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• checking whether package ‘localICE’ can be installed ... OK See the install log for details.
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• checking examples ... [2s/3s] 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
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• checking tests ... [3s/4s] OK   Running ‘testthat.R’ [3s/4s]
• checking PDF version of manual ... [4s/5s] OK
• checking HTML version of manual ... [0s/0s] OK
• checking for non-standard things in the check directory ... OK
• DONE

Status: 1 ERROR, 1 NOTE