v0.6.0

What's Changed

New Features

• Add loo_pit function by @aloctavodia in #84
• Add randomized loo_pit by @aloctavodia in #85
• Add Nested rhat by @aloctavodia in #87
• Add loo expectations and metrics by @aloctavodia in #89
• Isotonic: add group option by @aloctavodia in #92
• Add group argument to difference_ecdf_pit by @aloctavodia in #94
• Update KDE computation & Bayes factor implementation (#55) by @PiyushPanwarFST in #95
• Adding rank normalisation methods to rhat_nested by @zaxtax in #102
• Add loo_approximate_posterior function by @jordandeklerk in #101
• Add loo_subsample function for large datasets by @jordandeklerk in #106
• Add support for different variable names in loo_pit by @jordandeklerk in #115
• Add R2 by @aloctavodia in #108
• Add Wasserstein distance and KL-divergence by @aloctavodia in #119
• Add "regular" metrics by @aloctavodia in #121
• Fix loo pit randomization by @aloctavodia in #120
• Add ci_in_rope by @aloctavodia in #123
• Add loo_moment_match by @jordandeklerk in #126
• Add function-specific Pareto k-hat for loo_expectations by @jordandeklerk in #132

Maintenance and bug fixes

• Add more tests and examples for loo_metrics by @aloctavodia in #90
• Fix specific test failure by @amaloney in #99
• Autocorr, do not add coords by @aloctavodia in #97
• Start ess ess-related improvements by @OriolAbril in #44
• Testing infrastructure and architecture documentation by @OriolAbril in #103
• Fix ess prob validation by @OriolAbril in #109
• Fix ess prob validation by @OriolAbril in #110
• Fix HDF error in doc build by @OriolAbril in #113
• Improve publish workflow by @OriolAbril in #117
• Improved bayes_factor for multi-variable support by @PiyushPanwarFST in #104
• Fix summary bugs and add tests by @aloctavodia in #128
• psense: update link warning by @aloctavodia in #133
• enforce dim+sample_dims convention on functions by @OriolAbril in #131
• Remove "anes" dataset from tests by @aloctavodia in #135
• update tests to use arviz_base by @aloctavodia in #137
• Computational fixes for loo_moment_match by @jordandeklerk in #141
• raise when extra kwargs present in hdi&kde, add test for eti,hdi,kde&histogram by @OriolAbril in #143

Documentation

• Fix link eabm by @aloctavodia in #105
• Add overview guide by @aloctavodia in #129

New Contributors

• @rohanbabbar04 made their first contribution in #93
• @amaloney made their first contribution in #99
• @zaxtax made their first contribution in #102
• @jordandeklerk made their first contribution in #101

Full Changelog: v0.5.0...v0.6.0

v0.5.0

What's Changed

• Add randomized PIT by @aloctavodia in #75
• Simplify rank_ecdf by @aloctavodia in #76
• Add loo by @aloctavodia in #77
• Add Compare by @aloctavodia in #78
• Cap tail at 20% by @aloctavodia in #79
• Transform PIT values into ETI coverage values by @aloctavodia in #80

New Contributors

• @github-actions made their first contribution in #73

Full Changelog: v.0.4.0...v0.5.0

v.0.4.0

What's Changed

• move in power_scale_dataset from arviz-plots by @aloctavodia in #38
• Use datatree from xarray by @OriolAbril in #35
• Update pyproject.toml by @OriolAbril in #42
• Add functions by @aloctavodia in #39
• Add Rhat and MCSE functions by @aloctavodia in #47
• fix docstring mcse by @aloctavodia in #49
• Add thin function by @aloctavodia in #48
• Add separated prior and likelihood groups by @aloctavodia in #53
• Priorsense functions: allow inferencedata as input by @aloctavodia in #54
• Add bayes_factor function by @PiyushPanwarFST in #52
• Add summary function by @aloctavodia in #51
• Add isotonic regression fit by @aloctavodia in #58
• isotonic_ fit, work on datatrees by @aloctavodia in #60
• psense: Enhance citations and references to external information sources. by @aloctavodia in #57
• utils functions for rootogram by @aloctavodia in #61
• change var_names argument to data_pairs for isotonic fit by @aloctavodia in #64
• Add autocorr accessor to _BaseAccessor class by @suhaani-agarwal in #65
• Ensure we preserve number of observations by @aloctavodia in #66
• Add upper bound sphinx by @aloctavodia in #67
• Add functions for ecdf_pit and simultaneuous confidence bands computations by @aloctavodia in #69
• Automatic changelog and bump version by @aloctavodia in #70
• update dependencies for release by @aloctavodia in #72

New Contributors

• @PiyushPanwarFST made their first contribution in #52
• @suhaani-agarwal made their first contribution in #65

Full Changelog: v0.3.0...v.0.4.0

Release 0.3.0

This will be the final release that uses xarray-datatree library. From here on, the DataTree class from xarray itself will be used.

Initial release

Initial arviz-stats release. It only has a handful of features, mostly for use in arviz-plots. Documentation at https://arviz-stats.readthedocs.io