Merge pull request #275 from easystats/dev

prepare CRAN release

Author: DominiqueMakowski

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: bayestestR
 Type: Package
 Title: Understand and Describe Bayesian Models and Posterior Distributions
-Version: 0.4.9
+Version: 0.5.0
 Authors@R: c(
     person("Dominique", 
 		"Makowski", 
@@ -43,7 +43,7 @@ Authors@R: c(
 		comment = c(ORCID = "0000-0001-5510-6943"))
 	)
 Maintainer: Dominique Makowski <dom.makowski@gmail.com>
-URL: https://github.com/easystats/bayestestR
+URL: https://easystats.github.io/bayestestR/
 BugReports: https://github.com/easystats/bayestestR/issues
 Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors).
 License: GPL-3
@@ -52,7 +52,7 @@ LazyData: true
 Depends:
   R (>= 3.0)
 Imports:
-	insight (>= 0.7.0),
+	insight (>= 0.8.0),
 	methods,
 	stats,
 	utils

R/weighted_posteriors.R

@@ -27,24 +27,29 @@
 #' @seealso \code{\link{bayesfactor_inclusion}} for Bayesian model averaging.
 #'
 #' @examples
-#' \dontrun{
+#' \donttest{
 #' library(rstanarm)
+#' library(see)
 #'
 #' stan_m0 <- stan_glm(extra ~ 1, data = sleep,
 #'                     family = gaussian(),
+#'                     refresh=0,
 #'                     diagnostic_file = file.path(tempdir(), "df0.csv"))
 #'
 #' stan_m1 <- stan_glm(extra ~ group, data = sleep,
 #'                     family = gaussian(),
+#'                     refresh=0,
 #'                     diagnostic_file = file.path(tempdir(), "df1.csv"))
 #'
 #'
 #' res <- weighted_posteriors(stan_m0, stan_m1)
 #'
 #' plot(eti(res))
 #'
-#' # With BayesFactor
+#' # With BayesFactor and brms
 #' library(BayesFactor)
+#' library(brms)
+#'
 #' BFmods <- anovaBF(extra ~ group + ID, sleep, whichRandom = "ID")
 #'
 #' res <- weighted_posteriors(BFmods)[1:3]