Format .jl files

Author: itsdfish

docs/make.jl

@@ -25,7 +25,7 @@ makedocs(
             "Single Choice Models" => [
                 "Ex-Gaussian" => "ex_gaussian.md",
                 "Shifted Log Normal" => "shifted_lognormal.md",
-                "Wald" => "wald.md",
+                "Wald" => "wald.md"
             ],
             "Multi-choice Models" => [
                 "Single Attribute Models" => [

src/single_choice_models/wald.jl

@@ -91,7 +91,7 @@ function logpdf(d::Wald, rt::AbstractFloat)
     return d.η > 0 ? _logpdf_full(d, rt) : _logpdf_partial(d, rt)
 end
 
-function  _logpdf_partial(d::Wald, rt::AbstractFloat)
+function _logpdf_partial(d::Wald, rt::AbstractFloat)
     return d.ν == 0 ? -Inf : logpdf(InverseGaussian(d.α / d.ν, d.α^2), rt - d.τ)
 end
 

test/distributions_api.jl

@@ -7,7 +7,7 @@
             LCA(; α = 1.5, β = 0.20, λ = 0.10, ν = [2.5, 2.0], τ = 0.30, σ = 1.0),
             LNR(ν = [-1.0, 3.0], τ = 0.0),
             RDM(; ν = [1.0, 0.5], k = 0.5, A = 1.0, τ = 0.2),
-            Wald(3, 1, 0.2, .1),
+            Wald(3, 1, 0.2, 0.1),
             aDDM(),
             maaDDM()
         ]

test/plots.jl

@@ -179,7 +179,7 @@
         using SequentialSamplingModels
         using Test
 
-        dist = Wald(ν = 3.0, α = 0.5, τ = 0.130, η = .10)
+        dist = Wald(ν = 3.0, α = 0.5, τ = 0.130, η = 0.10)
         h = histogram(dist)
         plot!(h, dist; t_range = range(0.130, 1.0, length = 100))