Fix spelling error Criteron => Criterion

Author: Frankie Robertson

src/NextItemRules/NextItemRules.jl

@@ -56,7 +56,7 @@ export PointResponseExpectation, DistributionResponseExpectation
 export MatrixScalarizer, DeterminantScalarizer, TraceScalarizer
 export AbilityCovarianceStateMultiCriterion, StateMultiCriterion, ItemMultiCriterion
 export InformationMatrixCriteria
-export ScalarizedStateCriteron, ScalarizedItemCriteron
+export ScalarizedStateCriterion, ScalarizedItemCriterion
 export DRuleItemCriterion, TRuleItemCriterion
 
 # Prelude

src/NextItemRules/combinators/scalarizers.jl

@@ -4,23 +4,23 @@ scalarize(::DeterminantScalarizer, mat) = det(mat)
 struct TraceScalarizer <: MatrixScalarizer end
 scalarize(::TraceScalarizer, mat) = tr(mat)
 
-struct ScalarizedItemCriteron{
+struct ScalarizedItemCriterion{
     ItemMultiCriterionT <: ItemMultiCriterion,
     MatrixScalarizerT <: MatrixScalarizer
 } <: ItemCriterion
     criteria::ItemMultiCriterionT
     scalarizer::MatrixScalarizerT
 end
 
-struct ScalarizedStateCriteron{
+struct ScalarizedStateCriterion{
     StateMultiCriterionT <: StateMultiCriterion,
     MatrixScalarizerT <: MatrixScalarizer
 } <: StateCriterion
     criteria::StateMultiCriterionT
     scalarizer::MatrixScalarizerT
 end
 
-function compute_criterion(ssc::Union{ScalarizedItemCriteron, ScalarizedStateCriteron},
+function compute_criterion(ssc::Union{ScalarizedItemCriterion, ScalarizedStateCriterion},
         tracked_responses::TrackedResponses, item_idx...)
     res = scalarize(
         ssc.scalarizer,

src/NextItemRules/porcelain/porcelain.jl

@@ -1,11 +1,11 @@
 function DRuleItemCriterion(ability_estimator)
-    ScalarizedItemCriteron(
+    ScalarizedItemCriterion(
         InformationMatrixCriteria(ability_estimator),
         DeterminantScalarizer())
 end
 
 function TRuleItemCriterion(ability_estimator)
-    ScalarizedItemCriteron(
+    ScalarizedItemCriterion(
         InformationMatrixCriteria(ability_estimator),
         TraceScalarizer())
 end

test/ability_estimator_2d.jl

@@ -61,7 +61,7 @@ mle_mode_2d = ModeAbilityEstimator(lh_est_2d, optimizer_2d)
 
     @testset "2 dim information higher closer to current estimate" begin
         information_matrix_criteria = InformationMatrixCriteria(mle_mean_2d)
-        information_criterion = ScalarizedItemCriteron(
+        information_criterion = ScalarizedItemCriterion(
             information_matrix_criteria, DeterminantScalarizer())
 
         # Item closer to the current estimate (1, 1)
@@ -79,7 +79,7 @@ mle_mode_2d = ModeAbilityEstimator(lh_est_2d, optimizer_2d)
     @testset "2 dim variance smaller closer to current estimate" begin
         covariance_state_criterion = AbilityCovarianceStateMultiCriterion(
             lh_est_2d, integrator_2d)
-        variance_criterion = ScalarizedStateCriteron(
+        variance_criterion = ScalarizedStateCriterion(
             covariance_state_criterion, DeterminantScalarizer())
         variance_item_criterion = ExpectationBasedItemCriterion(
             mle_mean_2d, variance_criterion)
@@ -99,7 +99,7 @@ mle_mode_2d = ModeAbilityEstimator(lh_est_2d, optimizer_2d)
     @testset "2 dim variance is whack with trace scalarizer" begin
         covariance_state_criterion = AbilityCovarianceStateMultiCriterion(
             lh_est_2d, integrator_2d)
-        variance_criterion = ScalarizedStateCriteron(
+        variance_criterion = ScalarizedStateCriterion(
             covariance_state_criterion, TraceScalarizer())
         variance_item_criterion = ExpectationBasedItemCriterion(
             mle_mean_2d, variance_criterion)