Address comments.

JuliaDynamics · Oct 18, 2022 · 7a793bf · 7a793bf
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diff --git a/docs/src/complexity_measures.md b/docs/src/complexity_measures.md
@@ -1,4 +1,4 @@
-# [Complexity API](@id complexity_measures)
+# [Complexity measures API](@id complexity_measures)
 
 ```@docs
 complexity

diff --git a/docs/src/index.md b/docs/src/index.md
@@ -42,7 +42,7 @@ Thus, any of the implemented [probabilities estimators](@ref probabilities_estim
 
 Other complexity measures, which strictly speaking don't compute entropies, and may or may not explicitly compute probability distributions, appear in the [Complexity measures](@ref complexity_measures) section.
 
-## Input data for Entropies.jl
+## [Input data for Entropies.jl](@id input_data)
 
 The input data type typically depend on the probability estimator chosen. In general though, the standard DynamicalSystems.jl approach is taken and as such we have three types of input data:
 

diff --git a/src/complexity.jl b/src/complexity.jl
@@ -5,32 +5,28 @@ export complexity_normalized
 """
     ComplexityMeasure
 
-Abstract type for (entropy-like) complexity measures.
+Supertype for (entropy-like) complexity measures.
 """
 abstract type ComplexityMeasure end
 
 """
     complexity(c::ComplexityMeasure, x)
 
-Estimate the complexity measure `c` for input data `x`, where `c` can be any of the
-following measures:
+Estimate the complexity measure `c` for [input data](@ref input_data) `x`, where `c` can
+be any of the following measures:
 
 - [`ReverseDispersion`](@ref).
-
 """
 function complexity end
 
 """
     complexity_normalized(c::ComplexityMeasure, x) → m ∈ [a, b]
 
-Estimate the normalized complexity measure `c` for input data `x`, where `c` can
-can be any of the following measures:
-
-- [`ReverseDispersion`](@ref).
-
-The potential range `[a, b]` of the output value depends on `c`. See the documentation
-strings for the individual measures to get the normalized ranges.
+Estimate the [`complexity`](@ref) measure `c` for [input data](@ref input_data) `x`,
+normalized to the interval `[a, b]`, where `[a, b]` depends on `c`.
 """
-function complexity_normalized end
+function complexity_normalized(c::C, args...; kwargs...) where {C <: ComplexityMeasure}
+    throw(ArgumentError("complexity_normalized not implemented for $C."))
+end
 
 include("complexity_measures/complexity_measures.jl")