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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", "0.70-5") Attach the package and use:
library("np")
Maintained by
Jeffrey S. Racine
[Scholar Profile | Author Map]
[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,
How to cite:
Jeffrey S. Racine (2006). np: Nonparametric Kernel Smoothing Methods for Mixed Data Types. R package version 0.70-5, https://cran.r-project.org/web/packages/np. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-10-26 15:20), 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), 0.70-4 (2026-06-26 08:50), 0.70-5 (2026-07-15 03:00)
Other packages that cited np R package
View np citation profile
Other R packages that np depends,
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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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