np: Nonparametric kernel smoothing methods for mixed data types

This package provides a variety of 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 (, the Social Sciences and Humanities Research Council of Canada (, and the Shared Hierarchical Academic Research Computing Network (

Version: 0.60-2
Imports: boot, cubature, stats
Suggests: quantreg, MASS
Published: 2014-06-28
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej at>
License: GPL-2 | GPL-3 [expanded from: GPL]
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Citation: np citation info
Materials: README ChangeLog
In views: Econometrics, SocialSciences
CRAN checks: np results


Reference manual: np.pdf
Vignettes: Entropy-based Inference Using the np Package
The np Package
Frequently Asked Questions (np)
Package source: np_0.60-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: np_0.60-2.tgz, r-oldrel: np_0.60-2.tgz
OS X Mavericks binaries: r-release: np_0.60-2.tgz
Old sources: np archive

Reverse dependencies:

Reverse depends: CovSel, DepthProc, rddtools, semsfa, stam
Reverse imports: crs, npbr, NSM3, treeclim
Reverse suggests: AER