add automooncake

Author: Thore Kockerols

docs/src/tutorials/estimation.md

@@ -102,7 +102,7 @@ Next we define the parameter priors using the Turing package. The `@model` macro
 import Mooncake
 import DynamicPPL
 import Turing
-import Turing: NUTS, sample, logpdf, Beta, Normal, InverseGamma
+import Turing: AutoMooncake, NUTS, sample, logpdf, Beta, Normal, InverseGamma
 
 prior_distributions = [
     Beta(0.356, 0.02, Val(:μσ)),           # alp

test/test_1st_order_inversion_filter_estimation.jl

@@ -2,7 +2,7 @@ using MacroModelling
 import Turing
 import Pigeons
 import Mooncake
-import Turing: NUTS, sample, logpdf, Beta, Normal, InverseGamma
+import Turing: AutoMooncake, NUTS, sample, logpdf, Beta, Normal, InverseGamma
 import Optim, LineSearches
 using Random, CSV, DataFrames, MCMCChains, AxisKeys
 import DynamicPPL

test/test_2nd_order_estimation.jl

@@ -2,7 +2,7 @@ using MacroModelling
 import Turing
 import Pigeons
 import Mooncake
-import Turing: NUTS, sample, logpdf, Beta, Normal, InverseGamma
+import Turing: AutoMooncake, NUTS, sample, logpdf, Beta, Normal, InverseGamma
 import Optim, LineSearches
 using Random, CSV, DataFrames, MCMCChains, AxisKeys
 import DynamicPPL

test/test_3rd_order_estimation.jl

@@ -2,7 +2,7 @@ using MacroModelling
 import Turing
 import Mooncake
 import Pigeons
-import Turing: NUTS, sample, logpdf, PG, IS, Beta, Normal, InverseGamma
+import Turing: AutoMooncake, NUTS, sample, logpdf, PG, IS, Beta, Normal, InverseGamma
 import Optim, LineSearches
 using Random, CSV, DataFrames, MCMCChains, AxisKeys
 import DynamicPPL

test/test_estimation.jl

@@ -1,6 +1,6 @@
 using MacroModelling
 import Turing, Pigeons, Mooncake
-import Turing: NUTS, sample, logpdf, Beta, Normal, InverseGamma
+import Turing: AutoMooncake, NUTS, sample, logpdf, Beta, Normal, InverseGamma
 import Optim, LineSearches
 using Random, CSV, DataFrames, MCMCChains, AxisKeys
 import DynamicPPL

test/test_pruned_2nd_order_estimation.jl

@@ -2,7 +2,7 @@ using MacroModelling
 import Turing
 import Pigeons
 import Mooncake
-import Turing: NUTS, sample, logpdf, Beta, Normal, InverseGamma
+import Turing: AutoMooncake, NUTS, sample, logpdf, Beta, Normal, InverseGamma
 import Optim, LineSearches
 using Random, CSV, DataFrames, MCMCChains, AxisKeys
 import DynamicPPL

test/test_pruned_3rd_order_estimation.jl

@@ -2,7 +2,7 @@ using MacroModelling
 import Turing
 import Mooncake
 import Pigeons
-import Turing: NUTS, sample, logpdf, PG, IS, Beta, Normal, InverseGamma
+import Turing: AutoMooncake, NUTS, sample, logpdf, PG, IS, Beta, Normal, InverseGamma
 import Optim, LineSearches
 using Random, CSV, DataFrames, MCMCChains, AxisKeys
 import DynamicPPL

test/test_sw07_estimation.jl

@@ -1,7 +1,7 @@
 using MacroModelling
 using Mooncake
 import Turing, Pigeons
-import Turing: NUTS, sample, logpdf
+import Turing: AutoMooncake, NUTS, sample, logpdf
 import Optim, LineSearches
 using Random, CSV, DataFrames, MCMCChains, AxisKeys
 import DynamicPPL