CRAN Package Check Results for Package bartMan

Last updated on 2025-09-11 15:49:22 CEST.

Flavor	Version	T_install	T_check	T_total	Status
r-devel-linux-x86_64-debian-clang	0.2.0	24.24	172.85	197.09	OK
r-devel-linux-x86_64-debian-gcc	0.2.0	16.44	115.21	131.65	OK
r-devel-linux-x86_64-fedora-clang	0.2.0			313.52	ERROR
r-devel-linux-x86_64-fedora-gcc	0.2.0			296.32	ERROR
r-devel-windows-x86_64	0.2.0	22.00	162.00	184.00	OK
r-patched-linux-x86_64	0.2.0	21.95	157.37	179.32	OK
r-release-linux-x86_64	0.2.0	21.65	159.78	181.43	OK
r-release-macos-arm64	0.2.0			75.00	OK
r-release-macos-x86_64	0.2.0			147.00	OK
r-release-windows-x86_64	0.2.0	24.00	163.00	187.00	OK
r-oldrel-macos-arm64	0.2.0			84.00	OK
r-oldrel-macos-x86_64	0.2.0			159.00	OK
r-oldrel-windows-x86_64	0.2.0	31.00	215.00	246.00	OK

Check Details

Version: 0.2.0
Check: examples
Result: ERROR Running examples in ‘bartMan-Ex.R’ failed The error most likely occurred in: > ### Name: viviBartPlot > ### Title: viviBartPlot > ### Aliases: viviBartPlot > > ### ** Examples > > if(requireNamespace("dbarts", quietly = TRUE)){ + # Load the dbarts package to access the bart function + library(dbarts) + # Get Data + df <- na.omit(airquality) + # Create Simple dbarts Model For Regression: + set.seed(1701) + dbartModel <- bart(df[2:6], df[, 1], ntree = 5, keeptrees = TRUE, nskip = 10, ndpost = 10) + + # Tree Data + trees_data <- extractTreeData(model = dbartModel, data = df) + + # VSUP Matrix + vsupMat <- viviBartMatrix(trees = trees_data, + type = 'vsup', + metric = 'propMean', + metricError = 'CV') + # Plot + viviBartPlot(vsupMat, label = 'CV') + } Running BART with numeric y number of trees: 5 number of chains: 1, default number of threads 1 tree thinning rate: 1 Prior: k prior fixed to 2.000000 degrees of freedom in sigma prior: 3.000000 quantile in sigma prior: 0.900000 scale in sigma prior: 0.003039 power and base for tree prior: 2.000000 0.950000 use quantiles for rule cut points: false proposal probabilities: birth/death 0.50, swap 0.10, change 0.40; birth 0.50 data: number of training observations: 111 number of test observations: 0 number of explanatory variables: 5 init sigma: 20.858463, curr sigma: 20.858463 Cutoff rules c in x<=c vs x>c Number of cutoffs: (var: number of possible c): (1: 100) (2: 100) (3: 100) (4: 100) (5: 100) Running mcmc loop: total seconds in loop: 0.000704 Tree sizes, last iteration: [1] 3 2 2 4 2 Variable Usage, last iteration (var:count): (1: 1) (2: 1) (3: 4) (4: 0) (5: 2) DONE BART Generating Child/Parent Mappings: | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 3% | |== | 4% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 10% | |======= | 11% | |======== | 11% | |======== | 12% | |========= | 13% | |========== | 14% | |========== | 15% | |=========== | 15% | |=========== | 16% | |============ | 17% | |============ | 18% | |============= | 18% | |============= | 19% | |============== | 20% | |============== | 21% | |=============== | 21% | |=============== | 22% | |================ | 22% | |================ | 23% | |================= | 24% | |================= | 25% | |================== | 25% | |================== | 26% | |=================== | 27% | |=================== | 28% | |==================== | 28% | |==================== | 29% | |===================== | 29% | |===================== | 30% | |====================== | 31% | |====================== | 32% | |======================= | 32% | |======================= | 33% | |======================== | 34% | |======================== | 35% | |========================= | 35% | |========================= | 36% | |========================== | 37% | |=========================== | 38% | |=========================== | 39% | |============================ | 39% | |============================ | 40% | |============================= | 41% | |============================= | 42% | |============================== | 42% | |============================== | 43% | |=============================== | 44% | |=============================== | 45% | |================================ | 45% | |================================ | 46% | |================================= | 46% | |================================= | 47% | |================================== | 48% | |================================== | 49% | |=================================== | 49% | |=================================== | 50% | |=================================== | 51% | |==================================== | 51% | |==================================== | 52% | |===================================== | 53% | |===================================== | 54% | |====================================== | 54% | |====================================== | 55% | |======================================= | 55% | |======================================= | 56% | |======================================== | 57% | |======================================== | 58% | |========================================= | 58% | |========================================= | 59% | |========================================== | 60% | |========================================== | 61% | |=========================================== | 61% | |=========================================== | 62% | |============================================ | 63% | |============================================= | 64% | |============================================= | 65% | |============================================== | 65% | |============================================== | 66% | |=============================================== | 67% | |=============================================== | 68% | |================================================ | 68% | |================================================ | 69% | |================================================= | 70% | |================================================= | 71% | |================================================== | 71% | |================================================== | 72% | |=================================================== | 72% | |=================================================== | 73% | |==================================================== | 74% | |==================================================== | 75% | |===================================================== | 75% | |===================================================== | 76% | |====================================================== | 77% | |====================================================== | 78% | |======================================================= | 78% | |======================================================= | 79% | |======================================================== | 79% | |======================================================== | 80% | |========================================================= | 81% | |========================================================= | 82% | |========================================================== | 82% | |========================================================== | 83% | |=========================================================== | 84% | |=========================================================== | 85% | |============================================================ | 85% | |============================================================ | 86% | |============================================================= | 87% | |============================================================== | 88% | |============================================================== | 89% | |=============================================================== | 89% | |=============================================================== | 90% | |================================================================ | 91% | |================================================================ | 92% | |================================================================= | 92% | |================================================================= | 93% | |================================================================== | 94% | |================================================================== | 95% | |=================================================================== | 95% | |=================================================================== | 96% | |==================================================================== | 96% | |==================================================================== | 97% | |===================================================================== | 98% | |===================================================================== | 99% | |======================================================================| 99% | |======================================================================| 100% Extracting Observation Data... Error in width_cm(theme$legend.key.width * 5) : Unknown input Calls: <Anonymous> ... guide_gengrob -> guide_gengrob.colourfan -> width_cm Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.0
Check: examples
Result: ERROR Running examples in ‘bartMan-Ex.R’ failed The error most likely occurred in: > ### Name: viviBartPlot > ### Title: viviBartPlot > ### Aliases: viviBartPlot > > ### ** Examples > > if(requireNamespace("dbarts", quietly = TRUE)){ + # Load the dbarts package to access the bart function + library(dbarts) + # Get Data + df <- na.omit(airquality) + # Create Simple dbarts Model For Regression: + set.seed(1701) + dbartModel <- bart(df[2:6], df[, 1], ntree = 5, keeptrees = TRUE, nskip = 10, ndpost = 10) + + # Tree Data + trees_data <- extractTreeData(model = dbartModel, data = df) + + # VSUP Matrix + vsupMat <- viviBartMatrix(trees = trees_data, + type = 'vsup', + metric = 'propMean', + metricError = 'CV') + # Plot + viviBartPlot(vsupMat, label = 'CV') + } Running BART with numeric y number of trees: 5 number of chains: 1, default number of threads 1 tree thinning rate: 1 Prior: k prior fixed to 2.000000 degrees of freedom in sigma prior: 3.000000 quantile in sigma prior: 0.900000 scale in sigma prior: 0.003039 power and base for tree prior: 2.000000 0.950000 use quantiles for rule cut points: false proposal probabilities: birth/death 0.50, swap 0.10, change 0.40; birth 0.50 data: number of training observations: 111 number of test observations: 0 number of explanatory variables: 5 init sigma: 20.858463, curr sigma: 20.858463 Cutoff rules c in x<=c vs x>c Number of cutoffs: (var: number of possible c): (1: 100) (2: 100) (3: 100) (4: 100) (5: 100) Running mcmc loop: total seconds in loop: 0.000618 Tree sizes, last iteration: [1] 3 2 2 4 2 Variable Usage, last iteration (var:count): (1: 1) (2: 1) (3: 4) (4: 0) (5: 2) DONE BART Generating Child/Parent Mappings: | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 3% | |== | 4% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 10% | |======= | 11% | |======== | 11% | |======== | 12% | |========= | 13% | |========== | 14% | |========== | 15% | |=========== | 15% | |=========== | 16% | |============ | 17% | |============ | 18% | |============= | 18% | |============= | 19% | |============== | 20% | |============== | 21% | |=============== | 21% | |=============== | 22% | |================ | 22% | |================ | 23% | |================= | 24% | |================= | 25% | |================== | 25% | |================== | 26% | |=================== | 27% | |=================== | 28% | |==================== | 28% | |==================== | 29% | |===================== | 29% | |===================== | 30% | |====================== | 31% | |====================== | 32% | |======================= | 32% | |======================= | 33% | |======================== | 34% | |======================== | 35% | |========================= | 35% | |========================= | 36% | |========================== | 37% | |=========================== | 38% | |=========================== | 39% | |============================ | 39% | |============================ | 40% | |============================= | 41% | |============================= | 42% | |============================== | 42% | |============================== | 43% | |=============================== | 44% | |=============================== | 45% | |================================ | 45% | |================================ | 46% | |================================= | 46% | |================================= | 47% | |================================== | 48% | |================================== | 49% | |=================================== | 49% | |=================================== | 50% | |=================================== | 51% | |==================================== | 51% | |==================================== | 52% | |===================================== | 53% | |===================================== | 54% | |====================================== | 54% | |====================================== | 55% | |======================================= | 55% | |======================================= | 56% | |======================================== | 57% | |======================================== | 58% | |========================================= | 58% | |========================================= | 59% | |========================================== | 60% | |========================================== | 61% | |=========================================== | 61% | |=========================================== | 62% | |============================================ | 63% | |============================================= | 64% | |============================================= | 65% | |============================================== | 65% | |============================================== | 66% | |=============================================== | 67% | |=============================================== | 68% | |================================================ | 68% | |================================================ | 69% | |================================================= | 70% | |================================================= | 71% | |================================================== | 71% | |================================================== | 72% | |=================================================== | 72% | |=================================================== | 73% | |==================================================== | 74% | |==================================================== | 75% | |===================================================== | 75% | |===================================================== | 76% | |====================================================== | 77% | |====================================================== | 78% | |======================================================= | 78% | |======================================================= | 79% | |======================================================== | 79% | |======================================================== | 80% | |========================================================= | 81% | |========================================================= | 82% | |========================================================== | 82% | |========================================================== | 83% | |=========================================================== | 84% | |=========================================================== | 85% | |============================================================ | 85% | |============================================================ | 86% | |============================================================= | 87% | |============================================================== | 88% | |============================================================== | 89% | |=============================================================== | 89% | |=============================================================== | 90% | |================================================================ | 91% | |================================================================ | 92% | |================================================================= | 92% | |================================================================= | 93% | |================================================================== | 94% | |================================================================== | 95% | |=================================================================== | 95% | |=================================================================== | 96% | |==================================================================== | 96% | |==================================================================== | 97% | |===================================================================== | 98% | |===================================================================== | 99% | |======================================================================| 99% | |======================================================================| 100% Extracting Observation Data... Error in width_cm(theme$legend.key.width * 5) : Unknown input Calls: <Anonymous> ... guide_gengrob -> guide_gengrob.colourfan -> width_cm Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc