Merge branch 'master' of https://github.com/itsdfish/SequentialSamplingModels.jl

Author: itsdfish

src/LNR.jl

@@ -129,9 +129,9 @@ function simulate(rng::AbstractRNG, model::AbstractLNR; n_steps = 100, _...)
     n = length(ν)
     νs = @. rand(rng, Normal(ν, σ))
     βs = @. exp(νs)
-    _,choice = findmax(βs)
+    _, choice = findmax(βs)
     t = 1 / βs[choice]
     evidence = collect.(range.(0, βs * t, length = 100))
     time_steps = range(0, t, length = n_steps)
     return time_steps, hcat(evidence...)
-end
+end

test/plots.jl

@@ -265,7 +265,6 @@
         plot_model(dist; add_density = true, n_sim = 2, density_kwargs, xlims = (0, 1.2))
     end
 
-
     @safetestset "WaldMixture" begin
         using Plots
         using SequentialSamplingModels