yas

Author: palday

ext/MixedModelsSerializationEffectsExt.jl

@@ -6,10 +6,10 @@ using MixedModels
 using MixedModelsSerialization
 using StatsBase
 
-function Effects.effects!(reference_grid::DataFrame, model::LinearMixedModelSummary; kwargs...)
+function Effects.effects!(reference_grid::DataFrame, model::LinearMixedModelSummary;
+                          kwargs...)
     # we don't want to use the MixedModel specific version since we don't store all the things
-   return @invoke effects!(reference_grid::DataFrame, model::RegressionModel; kwargs...)
+    return @invoke effects!(reference_grid::DataFrame, model::RegressionModel; kwargs...)
 end
 
-
 end # module

src/MixedModelsSerialization.jl

@@ -235,7 +235,8 @@ end
 ##### MixedModels
 #####
 
-function MixedModels.issingular(mms::MixedModelSummary; atol::Real=0, rtol::Real=atol > 0 ? 0 : √eps())
+function MixedModels.issingular(mms::MixedModelSummary; atol::Real=0,
+                                rtol::Real=atol > 0 ? 0 : √eps())
     return any(zip(lowerbd(mms), mms.θ)) do (x, y)
         return isapprox(x, y; atol, rtol)
     end

test/set_up_tests.jl

@@ -11,9 +11,10 @@ kb07 = dataset(:kb07)
 progress = false
 
 fm1 = fit(MixedModel,
-          @formula(rt_trunc ~ 1 + spkr * prec * load +
-                              (1 + spkr + prec | subj) +
-                              (1 + load | item)), kb07; progress)
+          @formula(rt_trunc ~
+                   1 + spkr * prec * load +
+                   (1 + spkr + prec | subj) +
+                   (1 + load | item)), kb07; progress)
 mms = MixedModelSummary(fm1)
 
 fm2 = fit(MixedModel,