fix turn off progress meter for Turing examples

Author: Red-Portal

docs/src/general.md

@@ -57,7 +57,7 @@ end
 sampler   = RandPermGibbs(SliceSteppingOut(2.))
 n_samples = 10000
 model     = demo()
-chain     = sample(model, externalsampler(sampler), n_samples)
+chain     = sample(model, externalsampler(sampler), n_samples; progress=false)
 describe(chain)
 ```
 
@@ -88,7 +88,7 @@ sampler = Turing.Gibbs(
 
 n_samples = 1000
 model     = simple_choice([1.5, 2.0, 0.3])
-chain     = sample(model, sampler, n_samples)
+chain     = sample(model, sampler, n_samples; progress=false)
 describe(chain)
 ```
 

src/SliceSampling.jl

@@ -68,7 +68,7 @@ function exceeded_max_prop(max_prop::Int)
 end
 
 ## Univariate Slice Sampling Algorithms
-export Slice, SliceSteppingOut, SliceDoublingOut
+export Slice, SliceSteppingOut, SliceDoublingOut, SliceOverrelaxed
 
 abstract type AbstractUnivariateSliceSampling <: AbstractSliceSampling end
 
@@ -84,6 +84,7 @@ include("univariate/univariate.jl")
 include("univariate/fixedinterval.jl")
 include("univariate/steppingout.jl")
 include("univariate/doublingout.jl")
+include("univariate/overrelaxed.jl")
 
 ## Multivariate slice sampling algorithms
 abstract type AbstractMultivariateSliceSampling <: AbstractSliceSampling end
@@ -93,6 +94,7 @@ export RandPermGibbs, HitAndRun
 
 include("multivariate/randpermgibbs.jl")
 include("multivariate/hitandrun.jl")
+include("multivariate/covadaptcrumbs.jl")
 
 # Latent Slice Sampling 
 export LatentSlice