finishing...

Author: Do Kester

README.md

@@ -10,12 +10,15 @@ Citation index:
 DOI: 10.5281/zenodo.2597200
 
 
-## What's new in versions 2.4.4
-   * Moved BayesicFitting/BayesicFitting/documentation to BayesicFitting/docs
-   * Added a references.md file which collects (external) references.
-   * Updated the docs files.
-   * Handling of weight in accordance with the definition in the Glossary.
-   * Add keyword tail= to formatter to display last items of an array.
+## What's new in versions 2.5.0
+   * Add new models: BasicSplinesModel and SplinesDynamicModel
+   * Option for constraints on the likelihood
+   * Option for slow engines (working every slow-th iteration in NestedSampler)
+   * Restructure growPrior setting
+   * Print formatting in NestedSampler
+   * Adapt to SplinesDynamicModel
+   * Homogenized and improved plotoptions in test harnesses
+   * Three more exmaples added
 
 ## Content
 
@@ -266,6 +269,13 @@ More work needs to be done in:
    * Add random seed to several examples to make them more stable.
 
  + 17 Mar 2020 version 2.4.4
+   * Moved BayesicFitting/BayesicFitting/documentation to BayesicFitting/docs
+   * Added a references.md file which collects (external) references.
+   * Updated the docs files.
+   * Handling of weight in accordance with the definition in the Glossary.
+   * Add keyword tail= to formatter to display last items of an array.
+
+ + 4 Jun 2020 version 2.5.0
    * See above in Whats new.
 
 

setup.py

@@ -1,6 +1,6 @@
 from setuptools import setup, find_packages
 
-__version__ = '2.4.4'
+__version__ = '2.5.0'
 
 with open("README.md", "r") as fh:
     long_description = fh.read()
@@ -26,7 +26,7 @@
     long_description_content_type='text/markdown',
     url="https://github.com/dokester/BayesicFitting",
     keywords = ['Bayesian', 'modeling', 'evidence', 'statistics', 'analysis',
-                'optimization','nested sampling', 'fitting'],
+                'regression', 'inference', 'optimization','nested sampling', 'fitting'],
     packages=['BayesicFitting', 'BayesicFitting/source', 'BayesicFitting/source/kernels',
 #              'BayesicFitting/alpha',
               'BayesicFitting/test', 'BayesicFitting/examples'],