`maxent_disaggregation` Changelog#

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[1.3.1]#

Added optional seed parameter to maxent_disagg, sample_shares, and sample_aggregate (and their internal helpers) for reproducible random sampling.

[1.3.0]#

moved plotting functionality into dedicated modules.
made plotting dependencies check at plotting-function import, this removes the hard dependencies on matplotlib and corner.

[1.2.0]#

removed explicit print statements from warning catch and added suppress_warnings flag to suppress warnings*

[1.1.0]#

integrated an unbiased truncated normal, through least squares optimization of the Gausian paramteres of the truncatd normal distribution.
included simple tests

[1.0.6]#

update dependencies, all plotting dependencies only in the notebook environment

[1.0.1]#

Added some check on inputs.

[1.0.0] - 2025-06-10#

Paper resubmission release. Updated Hybrid Dirichlet –> hybrid Dirichlet (a compbination of Beta distributions and maximum entropy dirichlet distribution). Bias checks are performed. Includes plotting functions of distribution histograms and covariances.

[0.0.2] - 2025-04-10#

Incorporated nested sampling in mixed information case. Also testing for the mean of the sampled shares vs the provided shares and warns if above a threshold value. Same for the standatrd deviations on the mean.

Added#

Changed#

Removed#