Beta Release

New features

• Add plot_dist (#592)
• New rhat and ess (#623)
• Add plot_hpd (#611)
• Add plot_rank (#625)

Deprecations

• Remove load_data and save_data (#625)

Beta Release

New features

• Plot ppc supports multiple chains (#526)
• Plot titles now wrap (#441)
• plot_density uses a grid (#379)
• emcee reader support (#550)
• Animations in plot_ppc (#546)
• Optional dictionary for stat_funcs in summary (#583)
• Can exclude variables in selections with negated variable names (#574)

Maintenance/fixes

• Order maintained with xarray_var_iter (#557)
• Testing very improved (multiple)
• Fix nan handling in effective sample size (#573)
• Fix kde scaling (#582)
• xticks for discrete variables (#586)
• Empty InferenceData saves consistent with netcdf (#577)
• Removes numpy pinning (#594)

Deprecations

Documentation

• JOSS and Zenodo badges (#537)
• Gitter badge (#548)
• Docs for combining InferenceData (#590)

Beta Release

0.3.2

New features

• Support PyStan3 (#464)
• Add some more information to the inference data of tfp (#447)
• Use Split R-hat (#477)
• Normalize from_xyz functions (#490)
• KDE: Display quantiles (#479)
• Add multiple rope support to plot_forest (#448)
• Numba jit compilation to speed up some methods (#515)
• Add from_dict for easier creation of az.InferenceData objects (#524)
• Add stable logsumexp (#522)

Maintenance/fixes

• Fix for from_pyro with multiple chains (#463)
• Check __version__ for attr (#466)
• And exception to plot compare (#461)
• Add Docker Testing to travisCI (#473)
• fix jointplot warning (#478)
• Fix tensorflow import bug (#489)
• Rename N_effective to S_effective (#505)

Deprecations

Documentation

• Add docs to plot compare (#461)
• Add InferenceData tutorial in header (#502)
• Added figure to InferenceData tutorial (#510)

Beta release

Fix installation problem with release 0.3.0

Beta release

ArviZ should be now stable enough for daily use. We do not expect major API changes in the near future, instead we expect to work on adding new features and plots.

Alpha release

Includes plots, statistics, and diagnostics. Works well with objects from PyMC3, PyStan, CmdStan, emcee, and Pyro natively, as well as any dictionary of arrays.

Preliminary release

First release of ArviZ. Has feature parity with PyMC3 plotting and diagnostics, but is still considered alpha software.