drop parameterized measure specifics

Author: cscherrer

test/runtests.jl

@@ -15,56 +15,7 @@ function draw2(μ)
 end
 
 @testset "Parameterized Measures" begin
-    @testset "Binomial" begin
-        D = Binomial{(:n, :p)}
-        par = merge((n=20,),transform(asparams(D, (n=20,)), randn(1)))
-        d = D(par)
-        (n,p) = (par.n, par.p)
-        logitp = logit(p)
-        probitp = norminvcdf(p)
-        y = rand(d)
-
-        ℓ = logdensity(Binomial(;n, p), y)
-        @test ℓ ≈ logdensity(Binomial(;n, logitp), y)
-        @test ℓ ≈ logdensity(Binomial(;n, probitp), y)
-
-        @test_broken logdensity(Binomial(n,p), CountingMeasure(ℤ[0:n]), x) ≈ binomlogpdf(n,p,x)
-    end
-
-    @testset "NegativeBinomial" begin
-        D = NegativeBinomial{(:r, :p)}
-        par = transform(asparams(D), randn(2))
-        d = D(par)
-        (r,p) = (par.r, par.p)
-        logitp = logit(p)
-        λ = p * r / (1 - p)
-        y = rand(d)
-
-        ℓ = logdensity(NegativeBinomial(;r, p), y)
-        @test ℓ ≈ logdensity(NegativeBinomial(;r, logitp), y)
-        @test ℓ ≈ logdensity(NegativeBinomial(;r, λ), y)
-
-        @test_broken logdensity(Binomial(n,p), CountingMeasure(ℤ[0:n]), x) ≈ binomlogpdf(n,p,x)
-    end
-
-    @testset "Normal" begin
-        D = Normal{(:μ,:σ)}
-        par = transform(asparams(D), randn(2))
-        d = D(par)
-        @test params(d) == par
-
-        μ = par.μ
-        σ = par.σ
-        σ² = σ^2
-        τ = 1/σ²
-        logσ = log(σ)
-        y = rand(d)
-
-        ℓ = logdensity(Normal(;μ,σ), y)
-        @test ℓ ≈ logdensity(Normal(;μ,σ²), y)
-        @test ℓ ≈ logdensity(Normal(;μ,τ), y)
-        @test ℓ ≈ logdensity(Normal(;μ,logσ), y)
-    end
+   
 end
 
 @testset "Kernel" begin