R Under development (unstable) (2025-11-17 r89032 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(rupturesRcpp) +--------------------------------------------------------------------+ | | | _ ____ | | _ __ _ _ _ __ | |_ _ _ _ __ ___ ___| _ \ ___ _ __ _ __ | | | '__| | | | '_ \| __| | | | '__/ _ \/ __| |_) / __| '_ \| '_ \ | | | | | |_| | |_) | |_| |_| | | | __/\__ \ _ < (__| |_) | |_) | | | |_| \__,_| .__/ \__|\__,_|_| \___||___/_| \_\___| .__/| .__/ | | |_| |_| |_| | | version 1.0.0 | +--------------------------------------------------------------------+ See https://github.com/edelweiss611428/rupturesRcpp/blob/main/README.md for basic usage! > > test_check("rupturesRcpp") `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. Pruned Exact Linear Time (PELT) minSize : 1L jump : 1L costFunc : "L2" fitted : TRUE n : 100L p : 1L Pruned Exact Linear Time (PELT) minSize : 1L jump : 1L costFunc : "L2" fitted : TRUE n : 100L p : 1L `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. Pruned Exact Linear Time (PELT) minSize : 2L jump : 2L costFunc : "VAR" pVAR : 1L fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Pruned Exact Linear Time (PELT) minSize : 2L jump : 2L costFunc : "SIGMA" addSmallDiag : TRUE epsilon : 1e-06 fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Pruned Exact Linear Time (PELT) minSize : 2L jump : 2L costFunc : "L1" fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Pruned Exact Linear Time (PELT) minSize : 2L jump : 2L costFunc : "LinearL2" intercept : TRUEL fitted : TRUE n : 100L p : 2L `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `dimNames` is missing. Proceed to use the default `dimNames`! e.g., `paste0('X', d))`. `endPts` is missing. Proceed to use the temporary `endPts`! `dimNames` is missing. Proceed to use the default `dimNames`! e.g., `paste0('X', d))`. `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. Slicing Window (Window) minSize : 1L jump : 1L radius : 25L costFunc : "L2" fitted : TRUE n : 100L p : 1L Slicing Window (Window) minSize : 1L jump : 1L radius : 25L costFunc : "L2" fitted : TRUE n : 100L p : 1L `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. Slicing Window (Window) minSize : 2L jump : 2L radius : 10L costFunc : "VAR" pVAR : 1L fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Slicing Window (Window) minSize : 2L jump : 2L radius : 10L costFunc : "SIGMA" addSmallDiag : TRUE epsilon : 1e-06 fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Slicing Window (Window) minSize : 2L jump : 2L radius : 10L costFunc : "L1" fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Slicing Window (Window) minSize : 2L jump : 2L radius : 10L costFunc : "LinearL2" intercept : TRUEL fitted : TRUE n : 100L p : 2L `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `dimNames` is missing. Proceed to use the default `dimNames`! e.g., `paste0('X', d))`. `endPts` is missing. Proceed to use the temporary `endPts`! `dimNames` is missing. Proceed to use the default `dimNames`! e.g., `paste0('X', d))`. `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. Binary Segmentation (binSeg) minSize : 1L jump : 1L costFunc : "L2" fitted : TRUE n : 100L p : 1L Binary Segmentation (binSeg) minSize : 1L jump : 1L costFunc : "L2" fitted : TRUE n : 100L p : 1L `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. `costFunc` has been updated. Re-fitting the model. Binary Segmentation (binSeg) minSize : 2L jump : 2L costFunc : "VAR" pVAR : 1L fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Binary Segmentation (binSeg) minSize : 2L jump : 2L costFunc : "SIGMA" addSmallDiag : TRUE epsilon : 1e-06 fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Binary Segmentation (binSeg) minSize : 2L jump : 2L costFunc : "L1" fitted : TRUE n : 100L p : 2L `costFunc` has been updated. Re-fitting the model. Binary Segmentation (binSeg) minSize : 2L jump : 2L costFunc : "LinearL2" intercept : TRUEL fitted : TRUE n : 100L p : 2L `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `dimNames` is missing. Proceed to use the default `dimNames`! e.g., `paste0('X', d))`. `endPts` is missing. Proceed to use the temporary `endPts`! `dimNames` is missing. Proceed to use the default `dimNames`! e.g., `paste0('X', d))`. `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! `endPts` is missing. Proceed to use the temporary `endPts`! [ FAIL 0 | WARN 0 | SKIP 2 | PASS 740 ] ══ Skipped tests (2) ═══════════════════════════════════════════════════════════ • Required Python modules not available (2): 'test-segModule_PELT.R:16:5', 'test-segModule_PELT.R:156:5' [ FAIL 0 | WARN 0 | SKIP 2 | PASS 740 ] > > proc.time() user system elapsed 7.12 0.71 15.67