Update Package

src/InsufficientGibbs/Distribution.py

@@ -4,8 +4,8 @@
 import numpy as np
 from scipy.stats import norm, gamma, lognorm, weibull_min, cauchy, genpareto, pareto, laplace,uniform
 
-# from InsufficientGibbs.Variable import Variable, ContinuousVariable, PositiveContinuousVariable
-from Variable import Variable, ContinuousVariable, PositiveContinuousVariable
+from InsufficientGibbs.Variable import Variable, ContinuousVariable, PositiveContinuousVariable
+# from Variable import Variable, ContinuousVariable, PositiveContinuousVariable
 class Distribution:
     """
     Base class for all distributions

src/InsufficientGibbs/Model.py

@@ -6,8 +6,8 @@
 import matplotlib.pyplot as plt
 from scipy.stats import norm, median_abs_deviation, invgamma, iqr
 
-# from InsufficientGibbs.Distribution import *
-from Distribution import *
+from InsufficientGibbs.Distribution import *
+# from Distribution import *
 
 
 def medMAD(X): return (np.median(X), median_abs_deviation(X))  

src/InsufficientGibbs/Models.py

@@ -1,7 +1,7 @@
-# from InsufficientGibbs.Model import Model
-# from InsufficientGibbs.Distribution import *
-from Model import Model
-from Distribution import *
+from InsufficientGibbs.Model import Model
+from InsufficientGibbs.Distribution import *
+# from Model import Model
+# from Distribution import *
 
 from typing import Dict, Tuple
 from scipy.stats import norm

src/InsufficientGibbs/__init__.py

@@ -1,4 +1,3 @@
 from InsufficientGibbs.Distribution import *
 from InsufficientGibbs.Model import *
-from InsufficientGibbs.Models import *
-#ReparametrizedTranslatedLogNormalModel, ReparametrizedTranslatedLogNormalModel
+from InsufficientGibbs.Models import *