⚠️ DEPRECATED

This package has been deprecated in favor of hbw.

Why hbw?

hbw provides everything hessband does, plus:

• Multivariate support: KDE and Nadaraya-Watson for multivariate data
• More kernels: 6 kernels (gaussian, epanechnikov, uniform, biweight, triweight, cosine) vs 2
• Numba acceleration: 16-49× faster than pure NumPy implementations
• Large data handling: Automatic subsampling via max_n parameter
• Active development: Regular updates and improvements

Migration

pip uninstall hessband
pip install hbw

# Old (hessband)
from hessband import select_kde_bandwidth, select_nw_bandwidth

# New (hbw)
from hbw import kde_bandwidth, nw_bandwidth

Links

• hbw repository: https://github.com/finite-sample/hbw
• hbw on PyPI: https://pypi.org/project/hbw/
• hbw documentation: https://finite-sample.github.io/hbw/