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 = ""),
person(given = "Tristen", family = "Hayfield", role = c("aut"), email = ""))
Maintainer: Jeffrey S. Racine <>
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 (, the Social Sciences and Humanities Research Council of Canada (, and the Shared Hierarchical Academic Research Computing Network (
License: GPL
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
Reverse Depends: 6