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[ascl:2008.003] KLLR: Kernel Localized Linear Regression

KLLR (Kernel Localized Linear Regression) generates estimates of conditional statistics in terms of the local slope, normalization, and covariance. This method provides a more nuanced description of population statistics appropriate for very large samples with non-linear trends. The code uses a bootstrap re-sampling technique to estimate the uncertainties and also provides tools to seamlessly generate visualizations of the model parameters.

Code site:
https://github.com/afarahi/kllr
Described in:
https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.2618F https://ui.adsabs.harvard.edu/abs/2020MNRAS.495..686A
Bibcode:
2020ascl.soft08003F

Views: 228

ascl:2008.003
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