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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: Maximilian-Stefan-Ernst

src/loss/WLS/WLS.jl

@@ -173,7 +173,12 @@ end
 ### Recommended methods
 ############################################################################################
 
-function update_observed(lossfun::SemWLS, observed::SemObserved; recompute_V = true, kwargs...)
+function update_observed(
+    lossfun::SemWLS,
+    observed::SemObserved;
+    recompute_V = true,
+    kwargs...,
+)
     if recompute_V
         return SemWLS(;
             observed = observed,
@@ -188,6 +193,5 @@ function update_observed(lossfun::SemWLS, observed::SemObserved; recompute_V = t
             meanstructure = MeanStruct(kwargs[:implied]) == HasMeanStruct,
             kwargs...,
         )
-
     end
 end

test/examples/helper.jl

@@ -138,14 +138,14 @@ function test_estimates(
 end
 
 function test_bootstrap(
-        model_fit,
-        spec;
-        compare_hessian = true,
-        rtol_hessian = 0.2,
-        compare_bs = true,
-        rtol_bs = 0.1,
-        n_boot = 500,
-    )
+    model_fit,
+    spec;
+    compare_hessian = true,
+    rtol_hessian = 0.2,
+    compare_bs = true,
+    rtol_bs = 0.1,
+    n_boot = 500,
+)
     @testset rng = Random.seed!(32432) "bootstrap" begin
         se_bs = @suppress se_bootstrap(model_fit, spec; n_boot = n_boot)
         # hessian and bootstrap se are close
@@ -158,7 +158,7 @@ function test_bootstrap(
         if compare_bs
             bs_samples = bootstrap(model_fit, spec; n_boot = n_boot)
             @test bs_samples[:n_converged] >= 0.95*n_boot
-            bs_samples = 
+            bs_samples =
                 cat(bs_samples[:samples][BitVector(bs_samples[:converged])]..., dims = 2)
             se_bs_2 = sqrt.(var(bs_samples, corrected = false, dims = 2))
             #println(maximum(abs.(se_bs_2 - se_bs)))

test/examples/multigroup/build_models.jl

@@ -419,7 +419,6 @@ if !isnothing(specification_miss_g1)
             lav_groups = Dict(:Pasteur => 1, :Grant_White => 2),
         )
 
-
         solution = fit(semoptimizer, model_ml_multigroup2)
         test_fitmeasures(
             fit_measures(solution),