fix examples following NestedModel rewrite

Author: mileslucas

docs/src/examples/correlated.md

@@ -34,7 +34,8 @@ using StatsPlots
 
 θ1 = range(-1, 1, length=1000)
 θ2 = range(-1, 1, length=1000)
-logf = [model.loglike([t1, t2, 0, 0]) for t2 in θ2, t1 in θ1]
+loglike = model.prior_transform_and_loglikelihood.loglikelihood
+logf = [loglike([t1, t2, 0, 0]) for t2 in θ2, t1 in θ1]
 heatmap(
     θ1, θ2, exp.(logf),
     aspect_ratio=1,

docs/src/examples/eggbox.md

@@ -32,7 +32,8 @@ using StatsPlots
 
 x = range(0, 1, length=1000)
 y = range(0, 1, length=1000)
-logf = [model.loglike([xi, yi]) for yi in y, xi in x]
+loglike = model.prior_transform_and_loglikelihood.loglikelihood
+logf = [loglike([xi, yi]) for yi in y, xi in x]
 heatmap(
     x, y, logf,
     xlims=extrema(x),

docs/src/examples/shells.md

@@ -32,7 +32,8 @@ using StatsPlots
 
 x = range(-6, 6, length=1000)
 y = range(-2.5, 2.5, length=1000)
-logf = [model.loglike([xi, yi]) for yi in y, xi in x]
+loglike = model.prior_transform_and_loglikelihood.loglikelihood
+logf = [loglike([xi, yi]) for yi in y, xi in x]
 heatmap(
     x, y, exp.(logf),
     xlims=extrema(x),