CRAN submission RC 0.13.1 (#593)

* CRAN submission RC 0.13.1

* lintr

* revdep-results

* bump datawizard as well

* skip on lin/mac, increase tolerance

* update wordlist

* bump see

* add tolerance for emmGrid tests

* check for internet access

cf. easystats/easystats#362

* Remove unnecessary re-export

easystats/easystats#292

* format_error

* fix lintr

* renamed

* rename back, dev version now

* skip on cran

* run tests in parallel

* shorten example to avoid yet another note

* Update bayesfactor_restricted.Rd

---------

Co-authored-by: Indrajeet Patil <patilindrajeet.science@gmail.com>
Co-authored-by: Dominique Makowski <dom.mak19@gmail.com>

Author: 3 people

.lintr

@@ -12,7 +12,7 @@ linters: linters_with_defaults(
     object_usage_linter = NULL,
     todo_comment_linter = NULL,
     undesirable_function_linter(c("mapply" = NA, "sapply" = NA, "setwd" = NA)),
-    undesirable_operator_linter = NULL,
     unnecessary_concatenation_linter(allow_single_expression = FALSE),
+    undesirable_operator_linter = NULL,
     defaults = linters_with_tags(tags = NULL)
   )

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: bayestestR
 Title: Understand and Describe Bayesian Models and Posterior Distributions
-Version: 0.13.0.10
+Version: 0.13.1
 Authors@R:
     c(person(given = "Dominique",
              family = "Makowski",
@@ -67,7 +67,7 @@ Depends:
     R (>= 3.6)
 Imports:
     insight (>= 0.19.1),
-    datawizard (>= 0.6.5),
+    datawizard (>= 0.7.0),
     graphics,
     methods,
     stats,
@@ -80,6 +80,7 @@ Suggests:
     blavaan,
     bridgesampling,
     brms,
+    curl,
     effectsize,
     emmeans,
     gamm4,
@@ -105,7 +106,7 @@ Suggests:
     rmarkdown,
     rstan,
     rstanarm,
-    see (>= 0.7.4),
+    see (>= 0.7.5),
     testthat,
     tweedie
 License: GPL-3
@@ -118,6 +119,8 @@ Language: en-US
 RoxygenNote: 7.2.3.9000
 Roxygen: list(markdown = TRUE)
 Config/testthat/edition: 3
+Config/testthat/parallel: true
+Config/rcmdcheck/ignore-inconsequential-notes: true
 Config/Needs/website:
     rstudio/bslib,
     r-lib/pkgdown,

NAMESPACE

@@ -622,7 +622,6 @@ export(pd_to_p)
 export(point_estimate)
 export(print_html)
 export(print_md)
-export(reshape_ci)
 export(reshape_draws)
 export(reshape_iterations)
 export(rnorm_perfect)
@@ -640,6 +639,5 @@ export(simulate_ttest)
 export(spi)
 export(unupdate)
 export(weighted_posteriors)
-importFrom(datawizard,reshape_ci)
 importFrom(insight,print_html)
 importFrom(insight,print_md)

R/bayesfactor_restricted.R

@@ -33,15 +33,15 @@
 #' set.seed(444)
 #' library(bayestestR)
 #' prior <- data.frame(
-#'   A = rnorm(1000),
-#'   B = rnorm(1000),
-#'   C = rnorm(1000)
+#'   A = rnorm(500),
+#'   B = rnorm(500),
+#'   C = rnorm(500)
 #' )
 #'
 #' posterior <- data.frame(
-#'   A = rnorm(1000, .4, 0.7),
-#'   B = rnorm(1000, -.2, 0.4),
-#'   C = rnorm(1000, 0, 0.5)
+#'   A = rnorm(500, .4, 0.7),
+#'   B = rnorm(500, -.2, 0.4),
+#'   C = rnorm(500, 0, 0.5)
 #' )
 #'
 #' hyps <- c(

R/mediation.R

@@ -345,7 +345,7 @@ print.bayestestR_mediation <- function(x, digits = 3, ...) {
   cat(insight::export_table(x, digits = digits))
   cat("\n")
 
-  prop_mediated[] <- lapply(prop_mediated, function(i) insight::format_value(i, as_percent = TRUE))
+  prop_mediated[] <- lapply(prop_mediated, insight::format_value, as_percent = TRUE)
   insight::print_color(
     sprintf(
       "Proportion mediated: %s [%s, %s]\n",

R/p_to_bf.R

@@ -60,11 +60,11 @@ p_to_bf.numeric <- function(x, log = FALSE, n_obs = NULL, ...) {
   p <- x
   # Validate n_obs
   if (is.null(n_obs)) {
-    stop("Argument `n_obs` must be specified.", call. = FALSE)
+    insight::format_error("Argument `n_obs` must be specified.")
   } else if (length(n_obs) == 1L) {
     n_obs <- rep(n_obs, times = length(p))
   } else if (length(n_obs) != length(p)) {
-    stop("`n_obs` must be of length 1 or same length as `p`.", call. = FALSE)
+    insight::format_error("`n_obs` must be of length 1 or same length as `p`.")
   }
 
   # Convert
@@ -112,7 +112,7 @@ p_to_bf.default <- function(x, log = FALSE, ...) {
       n_obs <- list(...)$n_obs
     }
   } else {
-    stop("Argument `x` must be a model object, or a numeric vector of p-values.", call. = FALSE)
+    insight::format_error("Argument `x` must be a model object, or a numeric vector of p-values.")
   }
 
   out <- p_to_bf(p, n_obs = n_obs, log = log)

R/reexports.R

@@ -145,7 +145,8 @@ describe_posterior(
   centrality = "all"
 )
 ```
-```{r message=FALSE, warning=FALSE,echo=FALSE}
+
+```{r message=FALSE, warning=FALSE, echo=FALSE, eval=curl::has_internet()}
 model <- insight::download_model("brms_zi_3")
 describe_posterior(
   model,
@@ -158,10 +159,7 @@ describe_posterior(
 ```
 
 
-*bayestestR* also includes [**many other features**](https://easystats.github.io/bayestestR/reference/index.html) useful for your Bayesian analsyes. Here are some more examples:
-
-
-
+*bayestestR* also includes [**many other features**](https://easystats.github.io/bayestestR/reference/index.html) useful for your Bayesian analyses. Here are some more examples:
 
 ## Point-estimates
 

README.Rmd

@@ -159,9 +159,9 @@ describe_posterior(
 )
 ## Summary of Posterior Distribution
 ## 
-## Parameter |    Median |        95% CI |     pd |   ps
-## -----------------------------------------------------
-## Posterior | -8.68e-03 | [-1.96, 1.92] | 50.35% | 0.46
+## Parameter | Median |        95% CI |     pd |   ps
+## --------------------------------------------------
+## Posterior |   0.01 | [-1.97, 1.99] | 50.58% | 0.47
 ```
 
 `describe_posterior()` works for many objects, including more complex
@@ -239,7 +239,7 @@ describe_posterior(
 
 *bayestestR* also includes [**many other
 features**](https://easystats.github.io/bayestestR/reference/index.html)
-useful for your Bayesian analsyes. Here are some more examples:
+useful for your Bayesian analyses. Here are some more examples:
 
 ## Point-estimates
 

README.md

@@ -1,20 +1,13 @@
-## Test environments
-
-* local Windows install, R 4.1.2
-
-* ubuntu 18.04 (on gitub-actions-ci), R 4.1.2
-
-* win-builder (devel and release)
-
-## R CMD check results
-
-0 errors | 0 warnings | 0 note
-
-
 ## revdepcheck results
 
-We checked 18 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.
+We checked 22 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.
 
  * We saw 0 new problems
- * We failed to check 0 packages
+ * We failed to check 1 packages
+
+Issues with CRAN packages are summarised below.
+
+### Failed to check
 
+* snSMART (NA)
+  Reason: JAGS was not installed.