Prepare CRAN release

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: bayestestR
 Title: Understand and Describe Bayesian Models and Posterior Distributions
-Version: 0.13.2.5
+Version: 0.14.0
 Authors@R:
     c(person(given = "Dominique",
              family = "Makowski",
@@ -109,7 +109,7 @@ Suggests:
     rmarkdown,
     rstan,
     rstanarm,
-    see (>= 0.7.5),
+    see (>= 0.8.5),
     testthat,
     tweedie
 License: GPL-3
@@ -119,12 +119,10 @@ VignetteBuilder:
     knitr
 Encoding: UTF-8
 Language: en-US
-RoxygenNote: 7.3.1
+RoxygenNote: 7.3.2
 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,
-    easystats/easystatstemplate
+Config/Needs/website: easystats/easystatstemplate
+Config/Needs/check: stan-dev/cmdstanr

NEWS.md

@@ -13,6 +13,9 @@
 * `bayesian_as_frequentist()` now supports more model families from Bayesian
   models that can be successfully converted to their frequentists counterparts.
 
+* `bayesfactor_models()` now throws an informative error when Bayes factors for
+  comparisons could not be calculated.
+
 ## Bug fixes
 
 * Fixed issue in `bayesian_as_frequentist()` for *brms* models with `0 + Intercept`

R/convert_bayesian_to_frequentist.R

@@ -63,8 +63,7 @@
     } else {
       # not all families return proper objects from "get", so we capture
       # some families via switch here...
-      model_family <- .safe(switch(
-        model_family$family,
+      model_family <- .safe(switch(model_family$family,
         beta = glmmTMB::beta_family(link = model_family$link),
         beta_binomial = glmmTMB::betabinomial(link = model_family$link),
         negbinomial = glmmTMB::nbinom1(link = model_family$link),
@@ -102,7 +101,7 @@
 
 # internal
 
 .convert_bayesian_as_frequentist <- function(info, formula, data, family, REML = TRUE) {
   # TODO: Check for
   # nonlinear formulas,
   # correlation structures,

inst/WORDLIST

@@ -1,7 +1,6 @@
 ADE
 Altough
 ArXiv
-BCI
 BCa
 BFs
 BGGM
@@ -41,8 +40,8 @@ HDInterval
 Haaf
 Hinne
 Hirose
-Imai
 IRR
+Imai
 Iverson
 JASP
 JASP's
@@ -60,7 +59,6 @@ Littman
 Liu
 Lodewyckx
 Ly
-Makowski
 MCMCglmm
 MCSE
 MPE
@@ -109,15 +107,13 @@ Ying
 Zheng
 al
 altough
-analsyes
 arXiv
 autocorrelated
 avaible
 bayesQR
 bayesian
 bcplm
 behavioural
-blogpost
 bmj
 bmwiernik
 bootsrapped
@@ -127,7 +123,6 @@ centred
 characterisation
 characterises
 ci
-columbia
 compte
 containe
 cplm
@@ -136,7 +131,6 @@ doi
 driiiing
 eXistence
 easystats
-edu
 effectsize
 egydq
 emmeans
@@ -151,15 +145,13 @@ fullrank
 generalised
 ggdist
 ggdistribute
-github
 grano
 higer
 https
 infty
 ing
 interpretability
 interpretable
-io
 iteratively
 jmp
 joss
@@ -200,7 +192,6 @@ splinefun
 ss
 stanfit
 stanreg
-statmodeling
 strengejacke
 summarise
 summarised