attributes -> parameters

Author: alexhroom

RATapi/outputs.py

@@ -65,7 +65,7 @@ def __str__(self):
 class CalculationResults(RATResult):
     """The goodness of fit from the Abeles calculation.
 
-    Attributes
+    Parameters
     ----------
     chiValues : np.ndarray
         The chi-squared value for each contrast.
@@ -82,7 +82,7 @@ class CalculationResults(RATResult):
 class ContrastParams(RATResult):
     """The experimental parameters for each contrast.
 
-    Attributes
+    Parameters
     ----------
     scalefactors : np.ndarray
         The scalefactor values for each contrast.
@@ -108,7 +108,7 @@ class ContrastParams(RATResult):
 class Results:
     """The results of a RAT calculation.
 
-    Attributes
+    Parameters
     ----------
     reflectivity : list
         The reflectivity curves for each contrast,
@@ -175,7 +175,7 @@ class PredictionIntervals(RATResult):
     - 3: the 65th percentile;
     - 4: the 95th percentile.
 
-    Attributes
+    Parameters
     ----------
     reflectivity : list
         The prediction interval data for reflectivity of each contrast.
@@ -195,7 +195,7 @@ class PredictionIntervals(RATResult):
 class ConfidenceIntervals(RATResult):
     """The 65% and 95% confidence intervals for the best fit results.
 
-    Attributes
+    Parameters
     ----------
     percentile95 : np.ndarray
         The 95% confidence intervals for each fit parameter.
@@ -215,7 +215,7 @@ class ConfidenceIntervals(RATResult):
 class DreamParams(RATResult):
     """The parameters used by the inner DREAM algorithm.
 
-    Attributes
+    Parameters
     ----------
     nParams : float
         The number of parameters used by the algorithm.
@@ -286,7 +286,7 @@ class DreamParams(RATResult):
 class DreamOutput(RATResult):
     """The diagnostic output information from DREAM.
 
-    Attributes
+    Parameters
     ----------
     allChains : np.ndarray
         An ``nGenerations`` x ``nParams + 2`` x ``nChains`` size array,
@@ -337,7 +337,7 @@ class DreamOutput(RATResult):
 class NestedSamplerOutput(RATResult):
     """The output information from the Nested Sampler (ns).
 
-    Attributes
+    Parameters
     ----------
     logZ : float
         The natural logarithm of the evidence Z for the parameter values.
@@ -365,7 +365,7 @@ class NestedSamplerOutput(RATResult):
 class BayesResults(Results):
     """The results of a Bayesian RAT calculation.
 
-    Attributes
+    Parameters
     ----------
     predictionIntervals : PredictionIntervals
         The prediction intervals.