Running examples in 'RBesT-Ex.R' failed
The error most likely occurred in:

> ### Name: forest_plot
> ### Title: Forest Plot
> ### Aliases: forest_plot
> 
> ### ** Examples
> 
> # we consider the example AS MAP analysis
> example(AS)

AS> ## Setting up dummy sampling for fast execution of example
AS> ## Please use 4 chains and 20x more warmup & iter in practice
AS> .user_mc_options <- options(RBesT.MC.warmup=50, RBesT.MC.iter=100,
AS+                             RBesT.MC.chains=2, RBesT.MC.thin=1)

AS> set.seed(34563)

AS> map_AS <- gMAP(cbind(r, n-r) ~ 1 | study,
AS+                family=binomial,
AS+                data=AS,
AS+                tau.dist="HalfNormal", tau.prior=1,
AS+                beta.prior=2)
Assuming default prior location   for beta: 0
Warning: The largest R-hat is 1.11, indicating chains have not mixed.
Running the chains for more iterations may help. See
http://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
http://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
http://mc-stan.org/misc/warnings.html#tail-ess
Warning in gMAP(cbind(r, n - r) ~ 1 | study, family = binomial, data = AS,  :
  Maximal Rhat > 1.1. Consider increasing RBesT.MC.warmup MCMC parameter.
Final MCMC sample equivalent to less than 1000 independent draws.
Please consider increasing the MCMC simulation size.

AS> ## Recover user set sampling defaults
AS> options(.user_mc_options)
> 
> # default forest plot for a gMAP analysis
> forest_plot(map_AS)
Error in library.dynam(lib, package, package.lib) : 
  DLL 'dplyr' not found: maybe not installed for this architecture?
Calls: forest_plot ... namespaceImportFrom -> asNamespace -> loadNamespace -> library.dynam
Execution halted