Suggestions for pointwise_logdensities and siblings

docs/src/api.md

@@ -130,6 +130,17 @@ For a chain of samples, one can compute the pointwise log-likelihoods of each ob
 pointwise_loglikelihoods
 ```
 
+Similarly, one can compute the pointwise log-priors of each sampled random variable
+with [`varwise_logpriors`](@ref).
+Differently from `pointwise_loglikelihoods` it reports only a
+single value for `.~` assignements. 
+If one needs to access the parts for single indices, one can
+reformulate the model to use an explicit loop instead.
+
+```@docs
+varwise_logpriors
+```
+
 For converting a chain into a format that can more easily be fed into a `Model` again, for example using `condition`, you can use [`value_iterator_from_chain`](@ref).
 
 ```@docs

src/DynamicPPL.jl

@@ -116,6 +116,7 @@ export AbstractVarInfo,
     logprior,
     logjoint,
     pointwise_loglikelihoods,
+    pointwise_logdensities,
     condition,
     decondition,
     fix,
@@ -181,7 +182,7 @@ include("varinfo.jl")
 include("simple_varinfo.jl")
 include("context_implementations.jl")
 include("compiler.jl")
-include("loglikelihoods.jl")
+include("pointwise_logdensities.jl")
 include("submodel_macro.jl")
 include("test_utils.jl")
 include("transforming.jl")