np: Nonparametric Kernel Smoothing Methods for Mixed Data Types

Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.

Package details

AuthorJeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
MaintainerJeffrey S. Racine <>
Package repositoryView on CRAN
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np documentation built on March 31, 2023, 9:41 p.m.