Error(s) in re-building vignettes:
  ...
--- re-building ‘bayes_factors.Rmd’ using rmarkdown
Computation of Bayes factors: sampling priors, please wait...
Computation of Bayes factors: sampling priors, please wait...
Computation of Bayes factors: sampling priors, please wait...
Computation of Bayes factors: sampling priors, please wait...
boundary (singular) fit: see ?isSingular
boundary (singular) fit: see ?isSingular
boundary (singular) fit: see ?isSingular
Computation of Bayes factors: sampling priors, please wait...
Computation of Bayes factors: sampling priors, please wait...
Computation of Bayes factors: sampling priors, please wait...
--- finished re-building ‘bayes_factors.Rmd’

--- re-building ‘bayestestR.Rmd’ using rmarkdown

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: Rcpp
rstanarm (Version 2.19.2, packaged: 2019-10-01 20:20:33 UTC)
- Do not expect the default priors to remain the same in future rstanarm versions.
Thus, R scripts should specify priors explicitly, even if they are just the defaults.
- For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores())
- bayesplot theme set to bayesplot::theme_default()
   * Does _not_ affect other ggplot2 plots
   * See ?bayesplot_theme_set for details on theme setting
--- finished re-building ‘bayestestR.Rmd’

--- re-building ‘credible_interval.Rmd’ using rmarkdown

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

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    intersect, setdiff, setequal, union

--- finished re-building ‘credible_interval.Rmd’

--- re-building ‘example1.Rmd’ using rmarkdown
Loading required package: Rcpp
rstanarm (Version 2.19.2, packaged: 2019-10-01 20:20:33 UTC)
- Do not expect the default priors to remain the same in future rstanarm versions.
Thus, R scripts should specify priors explicitly, even if they are just the defaults.
- For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores())
- bayesplot theme set to bayesplot::theme_default()
   * Does _not_ affect other ggplot2 plots
   * See ?bayesplot_theme_set for details on theme setting

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Computation of Bayes factors: sampling priors, please wait...
Loading required namespace: logspline
--- finished re-building ‘example1.Rmd’

--- re-building ‘example2.Rmd’ using rmarkdown
Loading required package: coda
Loading required package: Matrix
************
Welcome to BayesFactor 0.9.12-4.2. If you have questions, please contact Richard Morey (richarddmorey@gmail.com).

Type BFManual() to open the manual.
************

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: Rcpp
rstanarm (Version 2.19.2, packaged: 2019-10-01 20:20:33 UTC)
- Do not expect the default priors to remain the same in future rstanarm versions.
Thus, R scripts should specify priors explicitly, even if they are just the defaults.
- For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores())
- bayesplot theme set to bayesplot::theme_default()
   * Does _not_ affect other ggplot2 plots
   * See ?bayesplot_theme_set for details on theme setting
Computation of Bayes factors: sampling priors, please wait...
Loading required namespace: logspline
--- finished re-building ‘example2.Rmd’

--- re-building ‘example3.Rmd’ using rmarkdown
--- finished re-building ‘example3.Rmd’

--- re-building ‘guidelines.Rmd’ using rmarkdown
--- finished re-building ‘guidelines.Rmd’

--- re-building ‘indicesEstimationComparison.Rmd’ using rmarkdown

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

--- finished re-building ‘indicesEstimationComparison.Rmd’

--- re-building ‘indicesExistenceComparison.Rmd’ using rmarkdown
--- finished re-building ‘indicesExistenceComparison.Rmd’

--- re-building ‘probability_of_direction.Rmd’ using rmarkdown

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

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The following objects are masked from 'package:base':

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Warning in file(file, "rt") :
  URL 'https://raw.githubusercontent.com/easystats/easystats/master/publications/makowski_2019_bayesian/data/data.csv': status was 'Server returned nothing (no headers, no data)'
Quitting from lines 59-81 (probability_of_direction.Rmd) 
Error: processing vignette 'probability_of_direction.Rmd' failed with diagnostics:
cannot open the connection to 'https://raw.github.com/easystats/easystats/master/publications/makowski_2019_bayesian/data/data.csv'
--- failed re-building ‘probability_of_direction.Rmd’

--- re-building ‘region_of_practical_equivalence.Rmd’ using rmarkdown
Loading required package: Rcpp
rstanarm (Version 2.19.2, packaged: 2019-10-01 20:20:33 UTC)
- Do not expect the default priors to remain the same in future rstanarm versions.
Thus, R scripts should specify priors explicitly, even if they are just the defaults.
- For execution on a local, multicore CPU with excess RAM we recommend calling
options(mc.cores = parallel::detectCores())
- bayesplot theme set to bayesplot::theme_default()
   * Does _not_ affect other ggplot2 plots
   * See ?bayesplot_theme_set for details on theme setting
--- finished re-building ‘region_of_practical_equivalence.Rmd’

SUMMARY: processing the following file failed:
  ‘probability_of_direction.Rmd’

Error: Vignette re-building failed.
Execution halted