np (0.40-13)

Nonparametric kernel smoothing methods for mixed data types.

https://github.com/JeffreyRacine/R-Package-np/
http://cran.r-project.org/web/packages/np

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).

Maintainer: Jeffrey S. Racine
Author(s): Tristen Hayfield <hayfield@mpia.de>, Jeffrey S. Racine <racinej@mcmaster.ca>

License: GPL

Uses: boot, cubature, quantreg, MASS
Reverse depends: causalweight, CovSel, DepthProc, FIAR, generalCorr, micEcon, rddtools, semsfa, stam
Reverse suggests: AER, BNSP, crs, mlt.docreg, spaero

Released almost 8 years ago.