bimets — Python port
====================

This project is a Python port of BIMETS, the R package for time-series
analysis and econometric modelling:

    https://github.com/andrea-luciani/bimets

The port is based on BIMETS 4.1.2 and includes adaptations of concepts, interfaces, documentation examples, test cases, and model definitions from the original project.

Original BIMETS
---------------

Copyright (C) 2021-2031 Bank of Italy

Original authors:

    Andrea Luciani
    Roberto Stok

The original BIMETS source is licensed under the GNU General Public License,
either version 3 of the License or, at the recipient's option, any later
version.

Bundled FRB/US example
----------------------

FRB/US was developed at the Board of Governors of the Federal Reserve System.
The model and data under examples/frb-us-policy-shock are derived from the
FRB__MODEL and LONGBASE datasets distributed with BIMETS R under GPL-3. BIMETS
documents the Federal Reserve model as downloaded and converted to BIMETS MDL
in February 2024. The bundled policy-shock exercise follows Andrea Luciani's
R Consortium article:

    https://r-consortium.org/posts/us-federal-reserve-quarterly-model-in-r/

The Federal Reserve makes FRB/US equations, documentation, data, and simulation
programs publicly downloadable at:

    https://www.federalreserve.gov/econres/us-models-about.htm

Only the observations required to initialize and run the bundled
2040Q1--2045Q4 simulation are retained; they span 2036Q1--2045Q4. No retained
model equation or observation has been modified.

Python port
-----------

The Python implementation contains modifications and new material created
from 2026 onward. Copyright in original or adapted BIMETS material remains
with its respective copyright holders. Copyright in new contributions remains
with the respective contributors unless otherwise agreed.

The complete Python distribution is released under the GNU General Public
License, version 3 or (at your option) any later version. See LICENSE for the
license terms.

The names BIMETS and Bank of Italy are used for attribution and identification
of compatibility. This project does not imply endorsement by the original
authors or by Bank of Italy.
