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np  

Nonparametric Kernel Smoothing Methods for Mixed Data Types
View on CRAN: Click here


Download and install np package within the R console
Install from CRAN:
install.packages("np")

Install from Github:
library("remotes")
install_github("cran/np")

Install by package version:
library("remotes")
install_version("np", "0.60-18")



Attach the package and use:
library("np")
Maintained by
Jeffrey S. Racine
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-11-19
Latest Update: 2024-12-10
Description:
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, ), the Social Sciences and Humanities Research Council of Canada (SSHRC, ), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, ). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
How to cite:
Jeffrey S. Racine (2006). np: Nonparametric Kernel Smoothing Methods for Mixed Data Types. R package version 0.60-18, https://cran.r-project.org/web/packages/np. Accessed 01 Jul. 2026.
Previous versions and publish date:
0.12-1 (2006-11-19 10:38), 0.13-1 (2007-05-03 12:24), 0.14-1 (2007-12-18 20:51), 0.14-2 (2008-01-11 18:23), 0.14-3 (2008-05-02 10:59), 0.20-0 (2008-07-28 08:13), 0.20-1 (2008-08-13 11:47), 0.20-2 (2008-11-02 19:57), 0.20-3 (2008-11-14 17:42), 0.20-4 (2008-11-20 18:48), 0.30-0 (2009-01-16 18:06), 0.30-1 (2009-01-29 21:02), 0.30-2 (2009-04-19 20:08), 0.30-3 (2009-06-02 17:42), 0.30-4 (2010-01-28 08:45), 0.30-5 (2010-01-29 19:52), 0.30-6 (2010-02-03 16:43), 0.30-7 (2010-02-15 06:59), 0.30-8 (2010-04-20 14:14), 0.30-9 (2010-05-17 11:00), 0.40-0 (2010-05-26 08:55), 0.40-1 (2010-06-04 20:18), 0.40-3 (2010-07-24 22:21), 0.40-4 (2011-01-21 14:07), 0.40-5 (2011-04-26 18:16), 0.40-6 (2011-06-02 07:35), 0.40-7 (2011-06-09 08:03), 0.40-9 (2011-07-30 17:03), 0.40-10 (2011-10-24 21:19), 0.40-11 (2011-10-25 09:47), 0.40-12 (2011-11-25 07:13), 0.40-13 (2012-03-06 07:40), 0.50-1 (2013-03-14 13:50), 0.60-0 (2014-06-01 08:14), 0.60-2 (2014-06-28 09:22), 0.60-3 (2017-04-29 22:02), 0.60-4 (2017-12-04 17:34), 0.60-5 (2018-01-04 22:49), 0.60-6 (2018-01-13 01:07), 0.60-7 (2018-05-01 16:59), 0.60-8 (2018-06-04 20:24), 0.60-9 (2018-10-25 06:30), 0.60-10 (2020-02-06 17:20), 0.60-11 (2021-06-14 16:20), 0.60-13 (2022-08-16 17:10), 0.60-14 (2022-09-05 10:50), 0.60-15 (2022-10-09 21:40), 0.60-16 (2022-10-19 01:42), 0.60-17 (2023-03-13 10:30), 0.60-18 (2024-12-10 09:40), 0.60-19 (2026-01-29 16:20), 0.60-20 (2026-02-12 07:10), 0.70-1 (2026-05-02 20:30), 0.70-2 (2026-05-15 23:40), 0.70-3 (2026-06-04 07:10)
Other packages that cited np R package
View np citation profile
Other R packages that np depends, imports, suggests or enhances
Complete documentation for np
Functions, R codes and Examples using the np R package
Some associated functions: b.star . data-Engel95 . data-cps71 . data-italy . data-oecd . data-wage1 . gradients . np-package . np.cmstest . np.condensity.bw . np.condensity . np.condistribution.bw . np.condistribution . np.conmode . np.copula . np.deneqtest . np.density.bw . np.density . np.deptest . np.distribution.bw . np.distribution . np.kernelsum . np.plot . np.plregression.bw . np.plregression . np.qcmstest . np.qregression . np.quantile . np.regression.bw . np.regression . np.regressioniv . np.regressionivderiv . np.sdeptest . np.sigtest . np.singleindex.bw . np.singleindex . np.smoothcoef.bw . np.smoothcoef . np.symtest . np.unitest . npseed . nptgauss . npuniden.boundary . npuniden.reflect . npuniden.sc . se . uocquantile . 
Some associated R codes: b.star.R . bandwidth.R . cmstest.R . conbandwidth.R . condbandwidth.R . condensity.R . condistribution.R . conmode.R . console.R . dbandwidth.R . deneqtest.R . density.R . deptest.R . distribution.R . gsl_bspline.R . kbandwidth.R . kernelsum.R . np.cmstest.R . np.condensity.R . np.condensity.bw.R . np.condistribution.R . np.condistribution.bw.R . np.conmode.R . np.copula.R . np.deneqtest.R . np.density.R . np.density.bw.R . np.deptest.R . np.distribution.R . np.distribution.bw.R . np.kernel.R . np.plot.R . np.plregression.R . np.plregression.bw.R . np.qcmstest.R . np.qregression.R . np.quantile.R . np.regression.R . np.regression.bw.R . np.sdeptest.R . np.sigtest.R . np.singleindex.R . np.singleindex.bw.R . np.smoothcoef.R . np.smoothcoef.bw.R . np.symtest.R . np.unitest.R . npregiv.R . npregivderiv.R . npuniden.boundary.R . npuniden.reflect.R . npuniden.sc.R . plbandwidth.R . plregression.R . qregression.R . rbandwidth.R . regression.R . sdeptest.R . sibandwidth.R . sigtest.R . singleindex.R . smoothbandwidth.R . smoothcoefficient.R . symtest.R . unitest.R . util.R . zzz.R .  Full np package functions and examples
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