Merge pull request #86 from amarquand/dev

Dev

CHANGES

@@ -0,0 +1,63 @@
+version 0.15
+A number of new functions have been implemented and we decided to use a new version numbering system to improve consistency.
+
+version 0.16
+Minor bug fix relative to release 0.15. Fixed a transpose operation that would cause normative.py to fail in certain cases
+
+version 0.17:
+Changes:
+- New syntax for functions related to parallelization (python path is automatically generated)
+- Support for slurm clusters has been added
+- Updates to hierarchical Bayesian regression (different priors for intercepts and noise) for improved transfer
+- Updated parameterisation for likelihood warping for improved stability
+- Now uses a fixed pickle protocol for better interoperability
+- Addition of a utility function for loading freesurfer measures
+- Updated sphinx documentation
+
+version 0.18
+Changes:
+- addition of cross-validation functionality for HBR
+- minor bug fixes for HBR
+
+version 0.19
+Changes:
+- separate standardization of responses and covariates
+- standardization is no longer on by default
+- new standardization methods
+- pymc3 version fixed
+- minor bugs resolved (CV with HBR)
+
+version 0.20
+Changes:
+- Major code refactoring
+- Requirements updated for python 3.8.3
+- Updates to documentation and Integrations with Read the Docs
+- Addition of tutorial material
+- Performance improvements for BLR (not compatible with previous versions)
+- Addition of heteroskedastic noise for BLR
+- Addition of Bayesian Information Criterion for BLR
+- Addition of utility functions (e.g. design matrix construction)
+- Several minor bug fixes (mostly related to HBR and BLR)
+
+version 0.21
+Relatively minor updates with respect to version 0.20, including:
+- documentation updates
+- minor updates to warp (including bug fix for the compostition)
+- software version is saved in models
+- utility functions for calibration descriptives and extreme values
+
+version 0.22
+Some minor updates and bug fixes:
+- updates to documentation and tutorials
+- updates to normative_parallel (interactive usage)
+- updates to HBR (merge functionality)
+- other minor bug fixes related to cross-validation (computation of error metrics), import problems and calibration statistics
+
+version 0.23
+Changes:
+- SHASH functionality for HBR added
+- Bug fix for normative model predict() function
+
+version 0.24
+- Minor bug fix related to SHASH/HBR
+- Added change log

setup.py

@@ -1,7 +1,7 @@
 from setuptools import setup, find_packages
 
 setup(name='pcntoolkit',
-      version='0.23',
+      version='0.24',
       description='Predictive Clinical Neuroscience toolkit',
       url='http://github.com/amarquand/PCNtoolkit',
       author='Andre Marquand',