EzTao

• Drop support for Python 3.7
• Bump numba requirement to >=0.57.0.
• New Features: Added seed options to gpSimRand, gpSimFull, and addNoise
• Bug fixes: #74, #75

• bump numba requirement to 0.57.0

• New Features: Added seed options to gpSimRand, gpSimFull, and addNoise
• Bug fixes: #74, #75

What's Changed

• 040522; [skip-tests] by @ywx649999311 in https://github.com/ywx649999311/EzTao/pull/55
• Fix import bug in carma_fit.py by @mwl10 in https://github.com/ywx649999311/EzTao/pull/62
• Changed np.bool to bool and np.complex to complex to support newer versions of Numpy. by @drewoldag in https://github.com/ywx649999311/EzTao/pull/72
• new version 0.4.1 by @ywx649999311 in https://github.com/ywx649999311/EzTao/pull/73

New Contributors

• @mwl10 made their first contribution in https://github.com/ywx649999311/EzTao/pull/62
• @drewoldag made their first contribution in https://github.com/ywx649999311/EzTao/pull/72

Full Changelog: https://github.com/ywx649999311/EzTao/compare/v0.4.0...v0.4.1

• Fitting functions (i.e., drw_fit) are now fully modular (allow user provided optimization function, prior function and etc.)
• A new addNoise function to simulated random noise given measurement errors.
• Bug fixes: #44
• API changes: n_iter -> n_opt in fitting functions.

close #41, #42, #43

• update parameter initialization in fit functions; removed de option #26, #27
• add few utils functions #30, #25
• add mcmc module #29
• ts simulation now support linear error
• added online documentation

• update parameter initialization in fit functions; removed de option #26, #27
• add few utils functions #30, #25
• add mcmc module #29
• ts simulation now support linear error
• added online documentation

• add methods to CARMA_term conversion between CARMA and poly space
• fixed bugs and add tests for model 2nd order stat funcs
• close #2, close #10

• Bug fixes
• Improved accuracy/reliability on fitting higher order models (using the minimizer)
• add minimizer option to all fitting functions