fix turing for matrix latent

src/turing.jl

@@ -121,6 +121,8 @@ function TuringMuseProblem(
             error("Unsupposed backend from Turing: $(Turing.ADBACKEND)")
         end
     end
+    # ensure tuple
+    params = (params...,)
     # prevent this constructor from advancing the default RNG for more clear reproducibility
     rng = copy(Random.default_rng())
     # model is expected to be passed in conditioned on x
@@ -160,14 +162,14 @@ end
 
 function transform_θ(prob::TuringMuseProblem, θ)
     vi = deepcopy(prob.vi_θ)
-    DynPPL.setval!(vi, θ)
+    DynPPL.setval!(vi, (;θ...))
     DynPPL.link!(vi, DynPPL.SampleFromPrior())
     ComponentVector(vi)
 end
 
 function inv_transform_θ(prob::TuringMuseProblem, θ)
     vi = deepcopy(prob.vi_θ)
-    DynPPL.setval!(vi, θ)
+    DynPPL.setval!(vi, (;θ...))
     for k in keys(θ)
         DynPPL.settrans!!(vi, true, _VarName(k))
     end
@@ -211,16 +213,9 @@ end
 
 
 
-# helped to extract parameters from a sampled model. feels like there
-# should be a less hacky way to do this...
 function _namedtuple(vi::DynPPL.VarInfo)
-    map(DynPPL.TypedVarInfo(vi).metadata) do m
-        if m.vns[1] isa DynPPL.VarName{<:Any,Setfield.IdentityLens} && length(m.vals)==1
-            m.vals[1]
-        else
-            m.vals
-        end
-    end
+    # `values_as` seems to return Real arays so narrow eltype
+    map(x -> identity.(x), DynPPL.values_as(vi, NamedTuple))
 end
 
 ComponentVector(vi::DynPPL.VarInfo) = ComponentVector(_namedtuple(vi))