First full-featured release for general production use

1.0.1 (August 23, 2020)

• Minor fix to allow building from source.

1.0.0 (August 22, 2020)

API Changes

• 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.

Enhancements

• 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.

Bug fixes

• Removed incorrect implementation of Studentized bootstrap.

Deprecations

• Smoothing of bootstrap samples is no longer supported.
• Supremum norm and MISE functionals removed.

Other

• Benchmarks were added to track and compare performance of bootstrap and jackknife methods.