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 (NSERC:www.nserc.ca), the Social Sciences and Humanities Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared Hierarchical Academic Research Computing Network (SHARCNET:www.sharcnet.ca).

Version: 0.40-12
Depends: boot, cubature
Suggests: quantreg, MASS
Published: 2011-11-25
Author: Tristen Hayfield, Jeffrey S. Racine
Maintainer: Jeffrey S. Racine <racinej at mcmaster.ca>
License: GPL
URL: https://github.com/JeffreyRacine/R-Package-np/
Citation: np citation info
In views: Econometrics
CRAN checks: np results

Downloads:

Package source: np_0.40-12.tar.gz
MacOS X binary: np_0.40-12.tgz
Windows binary: np_0.40-12.zip
Reference manual: np.pdf
Vignettes: Entropy-based Inference Using the np Package
The np Package
News/ChangeLog:ChangeLog
Old sources: np archive

Reverse dependencies:

Reverse depends: FIAR, micEcon, stam
Reverse suggests: AER, crs