Update 'fittable' function to remove InteractiveUtils from dependenci…

…es (#35)

Project.toml

@@ -9,7 +9,6 @@ CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
 DataScienceTraits = "6cb2f572-2d2b-4ba6-bdb3-e710fa044d6c"
 Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
 GeoTables = "e502b557-6362-48c1-8219-d30d308dcdb0"
-InteractiveUtils = "b77e0a4c-d291-57a0-90e8-8db25a27a240"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 Meshes = "eacbb407-ea5a-433e-ab97-5258b1ca43fa"
 NearestNeighbors = "b8a86587-4115-5ab1-83bc-aa920d37bbce"
@@ -37,7 +36,6 @@ CategoricalArrays = "0.10"
 DataScienceTraits = "1.0"
 Distances = "0.10"
 GeoTables = "1.21"
-InteractiveUtils = "1.9"
 LinearAlgebra = "1.9"
 Makie = "0.21"
 Meshes = "0.51 - 0.52"

src/GeoStatsFunctions.jl

@@ -11,7 +11,6 @@ using Optim
 using Tables
 using Distances
 using Bessels: gamma, besselk
-using InteractiveUtils: subtypes
 using NearestNeighbors: MinkowskiMetric
 using OhMyThreads: tmapreduce
 using DataScienceTraits

src/fitting.jl

@@ -3,7 +3,18 @@
 # ------------------------------------------------------------------
 
 # models that can be fitted currently
-fittable() = filter(isstationary, setdiff(subtypes(Variogram), (NuggetEffect, NestedVariogram)))
+# code to generate the model list:
+# filter(isstationary, setdiff(subtypes(Variogram), (NuggetEffect, NestedVariogram))) |> Tuple
+fittable() = (
+  CircularVariogram,
+  CubicVariogram,
+  ExponentialVariogram,
+  GaussianVariogram,
+  MaternVariogram,
+  PentasphericalVariogram,
+  SineHoleVariogram,
+  SphericalVariogram
+)
 
 """
     FitAlgo
@@ -81,8 +92,6 @@ using algorithm `algo` and return the one with minimum error.
 julia> fit(Variogram, g)
 julia> fit(Variogram, g, WeightedLeastSquares())
 ```
-
-See also `GeoStatsFunctions.fittable()`.
 """
 fit(::Type{Variogram}, g::EmpiricalVariogram, algo::FitAlgo=WeightedLeastSquares(); kwargs...) =
   fit(fittable(), g, algo; kwargs...)