CRAN Package Check Results for Maintainer ‘Joao Melo <pjoao266 at gmail.com>’

Last updated on 2024-03-28 19:49:12 CET.

Package ERROR NOTE
addinsJoaoMelo 12
bayesbr 7 5

Package addinsJoaoMelo

Current CRAN status: NOTE: 12

Version: 0.1.0
Check: LazyData
Result: NOTE 'LazyData' is specified without a 'data' directory Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-windows-x86_64

Package bayesbr

Current CRAN status: ERROR: 7, NOTE: 5

Version: 0.0.1.0
Check: Rd files
Result: NOTE checkRd: (-1) FoodExpenditure.Rd:48: Lost braces 48 | doi{10.1002/jae.3950090208} Griffiths, W.E., Hill, R.C., and Judge, G.G. (1993). | ^ checkRd: (-1) GasolineYield.Rd:30: Lost braces; missing escapes or markup? 30 | variables. It was observed that there are only ten sets of values for the first three explanatory variables, so these sets served as conditions for controlled distillation. These conditions are listed in the variable \ code {batch}. | ^ Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64

Version: 0.0.1.0
Check: for GNU extensions in Makefiles
Result: NOTE GNU make is a SystemRequirements. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-windows-x86_64

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000199 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 1.99 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 5.11 seconds (Warm-up) Chain 1: 0.505 seconds (Sampling) Chain 1: 5.615 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.74, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00028 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.8 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 7.87 seconds (Warm-up) Chain 1: 1.385 seconds (Sampling) Chain 1: 9.255 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.98, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.0.1.0
Check: dependencies in R code
Result: NOTE Namespaces in Imports field not imported from: ‘magrittr’ ‘rstantools’ All declared Imports should be used. Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-oldrel-macos-arm64

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000229 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.29 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 21.697 seconds (Warm-up) Chain 1: 1.848 seconds (Sampling) Chain 1: 23.545 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.74, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in ‘bayesbr-Ex.R’ failed The error most likely occurred in: > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.00027 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.7 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 11.217 seconds (Warm-up) Chain 1: 1.409 seconds (Sampling) Chain 1: 12.626 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.44, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.0.1.0
Check: examples
Result: ERROR Running examples in 'bayesbr-Ex.R' failed The error most likely occurred in: > ### Name: AIC_bayesbr > ### Title: Akaike Information Criterion > ### Aliases: AIC_bayesbr > > ### ** Examples > > data("CarTask",package = "bayesbr") > > car_bayesbr <- bayesbr(probability ~ NFCCscale + task, + data = CarTask,iter =100) SAMPLING FOR MODEL 'bayesbr' NOW (CHAIN 1). Chain 1: Chain 1: Gradient evaluation took 0.000259 seconds Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 2.59 seconds. Chain 1: Adjust your expectations accordingly! Chain 1: Chain 1: Chain 1: WARNING: There aren't enough warmup iterations to fit the Chain 1: three stages of adaptation as currently configured. Chain 1: Reducing each adaptation stage to 15%/75%/10% of Chain 1: the given number of warmup iterations: Chain 1: init_buffer = 7 Chain 1: adapt_window = 38 Chain 1: term_buffer = 5 Chain 1: Chain 1: Iteration: 1 / 100 [ 1%] (Warmup) Chain 1: Iteration: 10 / 100 [ 10%] (Warmup) Chain 1: Iteration: 20 / 100 [ 20%] (Warmup) Chain 1: Iteration: 30 / 100 [ 30%] (Warmup) Chain 1: Iteration: 40 / 100 [ 40%] (Warmup) Chain 1: Iteration: 50 / 100 [ 50%] (Warmup) Chain 1: Iteration: 51 / 100 [ 51%] (Sampling) Chain 1: Iteration: 60 / 100 [ 60%] (Sampling) Chain 1: Iteration: 70 / 100 [ 70%] (Sampling) Chain 1: Iteration: 80 / 100 [ 80%] (Sampling) Chain 1: Iteration: 90 / 100 [ 90%] (Sampling) Chain 1: Iteration: 100 / 100 [100%] (Sampling) Chain 1: Chain 1: Elapsed Time: 4.699 seconds (Warm-up) Chain 1: 0.746 seconds (Sampling) Chain 1: 5.445 seconds (Total) Chain 1: Warning: There were 50 divergent transitions after warmup. See https://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup to find out why this is a problem and how to eliminate them. Warning: Examine the pairs() plot to diagnose sampling problems Warning: The largest R-hat is 1.86, indicating chains have not mixed. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#r-hat Warning: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#bulk-ess Warning: Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable. Running the chains for more iterations may help. See https://mc-stan.org/misc/warnings.html#tail-ess Error in if (name == names_w[i]) { : missing value where TRUE/FALSE needed Calls: bayesbr -> model.bayesbr Execution halted Flavor: r-devel-windows-x86_64

Version: 0.0.1.0
Check: whether package can be installed
Result: ERROR Installation failed. Flavors: r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.0.1.0
Check: installed package size
Result: NOTE installed size is 42.2Mb sub-directories of 1Mb or more: libs 40.1Mb Flavors: r-release-macos-arm64, r-release-macos-x86_64, r-oldrel-macos-arm64