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npRmpi
View on CRAN: Click
here
Download and install npRmpi package within the R console
Install from CRAN:
install.packages("npRmpi")
Install from Github:
library("remotes")
install_github("cran/npRmpi") Install by package version:
library("remotes")
install_version("npRmpi", "0.70-5") Attach the package and use:
library("npRmpi")
Maintained by
Jeffrey S. Racine
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All associated links for this package
First Published: 2026-02-16
Latest Update: 2026-02-16
Description:
Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. This package is a parallel implementation of the 'np' package based on the 'MPI' specification that incorporates the 'Rmpi' package (Hao Yu <hyu@stats.uwo.ca>) with minor modifications and we are extremely grateful to Hao Yu for his contributions to the 'R' community. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). 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 (2026). npRmpi: Parallel Nonparametric Kernel Smoothing Methods for Mixed Data Types Using 'MPI'. R package version 0.70-5, https://cran.r-project.org/web/packages/npRmpi. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-07-15 02:20), 0.30-9 (2010-05-18 18:15), 0.40-0 (2010-05-26 10:15), 0.40-2 (2010-06-10 14:23), 0.40-3 (2010-07-25 18:41), 0.40-4 (2011-01-21 14:07), 0.40-5 (2011-04-26 18:09), 0.40-6 (2011-06-02 15:47), 0.40-7 (2011-06-09 08:03), 0.40-9 (2011-07-30 17:04), 0.40-10 (2011-10-24 21:20), 0.40-11 (2011-10-25 09:47), 0.40-12 (2011-11-25 08:13), 0.40-13 (2012-03-06 07:40), 0.50-1.1 (2014-01-01 06:55), 0.50-1 (2013-03-14 19:24), 0.60-0 (2014-06-01 08:14), 0.60-2 (2014-06-28 02:03), 0.60-20 (2026-02-16 18:20), 0.70-1 (2026-05-01 13:00), 0.70-2 (2026-05-15 23:10), 0.70-3 (2026-06-03 22:00), 0.70-4 (2026-06-26 08:40)
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