fix properly support Turing Gibbs sampling of StereographicSlice

Author: Red-Portal

Project.toml

@@ -1,6 +1,6 @@
 name = "SliceSampling"
 uuid = "43f4d3e8-9711-4a8c-bd1b-03ac73a255cf"
-version = "0.7.1"
+version = "0.7.2"
 
 [deps]
 AbstractMCMC = "80f14c24-f653-4e6a-9b94-39d6b0f70001"

ext/SliceSamplingTuringExt.jl

@@ -29,6 +29,7 @@ Turing.Inference.isgibbscomponent(::SliceSampling.HitAndRun) = true
 Turing.Inference.isgibbscomponent(::SliceSampling.Slice) = true
 Turing.Inference.isgibbscomponent(::SliceSampling.SliceSteppingOut) = true
 Turing.Inference.isgibbscomponent(::SliceSampling.SliceDoublingOut) = true
+Turing.Inference.isgibbscomponent(::SliceSampling.StereographicSlice) = true
 
 function Turing.Inference.getparams(
     ::Turing.DynamicPPL.Model, sample::SliceSampling.UnivariateSliceState

src/multivariate/randpermgibbs.jl

@@ -26,7 +26,7 @@ struct GibbsState{T<:Transition}
 end
 
 function AbstractMCMC.setparams!!(
-    model::AbstractMCMC.LogDensityModel, state::GibbsState, params
+    model::AbstractMCMC.LogDensityModel, ::GibbsState, params
 )
     lp = LogDensityProblems.logdensity(model.logdensity, params)
     return GibbsState(Transition(params, lp, NamedTuple()))

src/multivariate/stereographic.jl

@@ -7,13 +7,15 @@ Stereographic slice sampling algorithm by Bell, Latuszynski, and Roberts[^BLR202
 # Keyword Arguments
 - `max_proposals::Int`: Maximum number of proposals allowed until throwing an error (default: `$(DEFAULT_MAX_PROPOSALS)`).
 """
-@kwdef struct StereographicSlice{RType<:Real} <: AbstractMultivariateSliceSampling
+@kwdef struct StereographicSlice <: AbstractMultivariateSliceSampling
     max_proposals::Int = DEFAULT_MAX_PROPOSALS
 end
 
-struct StereographicSliceState{T<:Transition}
-    "Current [`Transition`](@ref)."
-    transition::T
+function AbstractMCMC.setparams!!(
+    model::AbstractMCMC.LogDensityModel, ::SliceSampling.Transition, params
+)
+    lp = LogDensityProblems.logdensity(model.logdensity, params)
+    return Transition(params, lp, NamedTuple())
 end
 
 function rand_uniform_sphere_orthogonal_subspace(