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Changelog | ||
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1.0.0 (August 22, 2020) | ||
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API Changes | ||
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- Bootstrap and jackknife generators ``resample.bootstrap.resample`` and ``resample.jackknife.resample`` are now exposed to compute replicates lazily. | ||
- Jackknife functions have been split into their own namespace ``resample.jackknife``. | ||
- Empirical distribution helper functions moved to a ``resample.empirical`` namespace. | ||
- Random number seeding is now done through using ``numpy`` generators rather than a global random state. As a result the minimum ``numpy`` version is now 1.17. | ||
- Parametric bootstrap now estimates both parameters of the t distribution. | ||
- Default confidence interval method changed from ``"percentile"`` to ``"bca"``. | ||
- Empirical quantile function no longer performs interpolation between quantiles. | ||
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Enhancements | ||
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- Added bootstrap estimate of bias. | ||
- Added ``bias_corrected`` function for jackknife and bootstrap, which computes the bias corrected estimates. | ||
- Performance of jackknife computation was increased. | ||
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Bug fixes | ||
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- Removed incorrect implementation of Studentized bootstrap. | ||
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Deprecations | ||
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- Smoothing of bootstrap samples is no longer supported. | ||
- Supremum norm and MISE functionals removed. | ||
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Other | ||
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- Benchmarks were added to track and compare performance of bootstrap and jackknife methods. |
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