Last data update: 2014.03.03

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np : Nonparametric kernel smoothing methods for mixed data types

Package: np
Version: 0.60-2
Date: 2014-06-27
Imports: boot, cubature, stats
Suggests: quantreg, MASS
Title: Nonparametric kernel smoothing methods for mixed data types
Authors@R: c(person(given = "Jeffrey S.", family = "Racine", role = c("aut","cre"), email = "racinej@mcmaster.ca"),
person(given = "Tristen", family = "Hayfield", role = c("aut"), email = "tristen.hayfield@gmail.com"))
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>
Description: 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).
License: GPL
URL: https://github.com/JeffreyRacine/R-Package-np/
Repository: CRAN
Packaged: 2014-06-27 15:27:04 UTC; jracine
Author: Jeffrey S. Racine [aut, cre],
Tristen Hayfield [aut]
NeedsCompilation: yes
Date/Publication: 2014-06-28 09:21:53

● Data Source: CranContrib
● Cran Task View: Econometrics
● 0 images, 39 functions, 5 datasets
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