docs: Build docs with ArviZExampleData v0.3 (#86)

* docs: Require ArviZExampleData v0.3

* docs: Update r2_score example to use new anes dataset

* docs: Fix r2_score documented return value

* chore: Increment patch number

* chore: Update changelog

Author: sethaxen

CHANGELOG.md

@@ -12,6 +12,12 @@
 
 ### Documentation
 
+## v0.4.4 (2026-01-19)
+
+### Documentation
+
+- Build docs with ArviZExampleData v0.3 ([#86](https://github.com/arviz-devs/PosteriorStats.jl/pull/86))
+
 ## v0.4.3 (2025-11-24)
 
 ### Features

Project.toml

@@ -1,7 +1,7 @@
 name = "PosteriorStats"
 uuid = "7f36be82-ad55-44ba-a5c0-b8b5480d7aa5"
 authors = ["Seth Axen <seth@sethaxen.com> and contributors"]
-version = "0.4.3"
+version = "0.4.4"
 
 [deps]
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"

docs/Project.toml

@@ -14,6 +14,7 @@ StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 PosteriorStats = {path = ".."}
 
 [compat]
+ArviZExampleData = "0.3"
 Documenter = "1"
 DocumenterCitations = "1.2"
 DocumenterInterLinks = "1"

src/r2_score.jl

@@ -1,5 +1,5 @@
 """
-    r2_score(y_true::AbstractVector, y_pred::AbstractArray; kwargs...) -> (; r2, r2_std)
+    r2_score(y_true::AbstractVector, y_pred::AbstractArray; kwargs...) -> (; r2, <ci_fun>)
 
 ``R²`` for linear Bayesian regression models.[Gelman2019](@citep)
 
@@ -36,14 +36,14 @@ credible interval (CI).
 ```jldoctest
 julia> using ArviZExampleData
 
-julia> idata = load_example_data("regression1d");
+julia> idata = load_example_data("anes");
 
-julia> y_true = idata.observed_data.y;
+julia> y_true = idata.observed_data.vote;
 
-julia> y_pred = PermutedDimsArray(idata.posterior_predictive.y, (:draw, :chain, :y_dim_0));
+julia> y_pred = PermutedDimsArray(idata.posterior_predictive.vote, (:draw, :chain, :__obs__));
 
 julia> r2_score(y_true, y_pred)
-(r2 = 0.683196996216511, eti = 0.6230680117869596 .. 0.7384123771046265)
+(r2 = 0.4944850210319484, eti = 0.46184359652436546 .. 0.528018251711097)
 ```
 
 # References