mcse() gains a centrality argument to return appropriate MCSE (#761)

* `mcse()` gains a `centrality` argument to return appropriate MCSE

* fix

* news

Author: strengejacke

DESCRIPTION

@@ -1,7 +1,7 @@
 Type: Package
 Package: bayestestR
 Title: Understand and Describe Bayesian Models and Posterior Distributions
-Version: 0.18.0
+Version: 0.18.0.1
 Authors@R:
     c(person(given = "Dominique",
              family = "Makowski",

NEWS.md

@@ -12,7 +12,8 @@
 
 ## Changes
 
-* `as.matrix(<bf>)` now returns class `bayesfactor_matrix` and has a simpler printing.
+* `as.matrix(<bf>)` now returns class `bayesfactor_matrix` and has a simpler
+  printing.
 
 * `diagnostic_posterior()` works with 'raw' MCMC samples (i.e., lists of data
   frames or matrices representing samples of parameters from chains, or 3D arrays)
@@ -28,6 +29,8 @@
 * `effective_sample()` for `stanfit` objects now also returns the tail-ESS
   (`ESS_tail`), consistent with `brmsfit` and `stanreg` objects.
 
+* `mcse()` gains a `centrality` argument to return the appropriate MCSE.
+
 # bayestestR 0.17.0
 
 ## Changes