14th March 2024

What's Changed

• FIX: Update license file from BSD-3 to MIT by @mmcky in #712
• MAINT: Update end year in License by @mmcky in #713
• Add citation by @Smit-create in #719
• Update ci.yml to latest version by @kp992 in #718
• FIX: linprog_simplex: Fix bug in Phase 1 by @oyamad in #727
• RELEASE v.0.7.2 by @mmcky in #728

New Contributors

• @kp992 made their first contribution in #718

Full Changelog: v0.7.1...v0.7.2

JOSS PAPER: 06th December 2023

This release is to support the JOSS paper.

JOSS PAPER: 04th December 2023

This release is to support the JOSS paper.

v0.7.1

Ver 0.7.1 (29-May-2023)

This is a minor release with bug fixes and improvements to documentation.

Fix

1. Fix for #704

Thank you to oyamad, HengchengZhang for your contributions

v0.7.0

Ver 0.7.0 (24-April-2023)

New

1. END: Add function fit_discrete_mc (jstac), (Smit-create) and (oyamad) which takes a time series and fits a finite markov chain
2. ENH: Adding Discrete Approximation of VAR Methods (crondonm)
3. ENH: Implement LCP solver (oyamad)

Fixes and Maintenance

1. FIX: Fix period of reducible MarkovChain with custom state_values (oyamad)

There were a range of additional maitenance and fixes including
RFC: Replace @generated_jit with @overload,
Update __Iss.py - Remove broken link,
FIX: Add __dir__ to lss.py,
MAINT: Rename ivy.py to ivp.py,
Bring estimate_mc into top level namespace,
Warn only when n in not int in tauchen,
FIX: Avoid bare 'except',
FIX: DOC: Remove 2-byte spaces

Thank you to (bensonarafat), (crondonm), (oyamad), (jstac), and (Smit-create) for all your contributions, PR reviews, and comments.

v0.6.0

Ver 0.6.0 (18-December-2022)

This is the next major release of the quantecon package as it includes some breaking changes as listed below. It also
includes a number of new features and enhancements including learning algorithms in the game theory module, MLE estimation
for Markov Chains, in addition to some useful helper functions.

PR #601: Updates to public and private API
includes some deprecations which will issue warnings and a helpful suggestion on how to
update any effected imports from the quantecon package.

Breaking

1. MAINT: Unify tauchen and rouwenhorst API (Smit-create)

New

1. ENH: Add MLE Estimation for Markov Chains (jstac)
2. ENH: Implement cartesian_nearest_index (oyamad)
3. ENH: check_random_state: Accept np.random.Generator (oyamad)
4. ENH: Add learning algorithms to Game Theory module (Yuya-Furusawa)

Fixes

1. FIX: Fix dtype in cartesian (oyamad)
2. FIX: Bugfix in brd.py (oyamad)
3. MAINT: player.is_dominated: Allow recent methods for scipy.optimize.linprog (oyamad)
4. MAINT: Distinguish between private and public namespaces (Smit-create).
5. MAINT: Clairfy hamilton_filter API (rht)

Thank you to (oyamad), (jstac), (Smit-create),
(rht), and (Yuya-Furusawa) for all your contributions, PR reviews, and comments.

v0.5.3

Ver 0.5.3 (07-April-2022)

This is primarily a maintenance release to fix a number of deprecation notices, migrating the tests to use pytest rather than nose, and python packaging is moving to flit

Enhancement:

1. ENH: Vectorize ECDF's call method (Smit-create)

Thanks Smit-create as a first time contributor to the project, and oyamad for your assistance with this release.

Release of version 0.5.2

Ver 0.5.2 (16-November-2021)

This is a bug fix release

Maintain:

1. FIX: markov: Respect dtype of P in cdfs ([oyamad], thanks @btanner for reporting issue)
2. LGTM code quality suggestions (nshea3)

Release of version 0.5.1

Ver 0.5.1 (27-June-2021)

New:

1. ENH: Add Numba-jitted linprog solver ([oyamad])
2. EHN: Add minmax solver ([oyamad])
3. ENH: Add LP solution method to DiscreteDP ([oyamad])

Maintain:

1. MAINT: Use multivariate_normal via random_state ([oyamad])
2. FIX: minmax: Fix redundancy ([oyamad])
3. DOCS: Fix typos in Docs ([timgates42])

thanks @oyamad and @timgates42

Release of version 0.5.0

Ver 0.5.0 (19-April-2021)

Breaking Changes:

1. ENH: Extend LinearStateSpace class #569 (shizejin)

Other Changes:

• FIX: [kalman] Always initialize self.Sigma and self.x_hat #562 (rht)
• TST: Setup Tests via Github Actions #561 (rht)
• ENH: Update root_finding.py #560 (alanlujan91)

Special thanks for contributions by rht, shizejin, alanlujan91, and oyamad