Last updated on 2024-03-28 19:49:12 CET.
Package | ERROR | NOTE |
---|---|---|
addinsJoaoMelo | 12 | |
bayesbr | 7 | 5 |
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
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