npRmpi: Parallel Nonparametric Kernel Smoothing Methods for Mixed Data
Types Using 'MPI'
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.
| Version: |
0.70-1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
boot, cubature, methods, quadprog, quantreg, stats, parallel |
| Suggests: |
MASS, logspline, ks, testthat, np, withr, crs (≥ 0.15-41), knitr, rmarkdown, rgl |
| Published: |
2026-05-01 |
| DOI: |
10.32614/CRAN.package.npRmpi |
| Author: |
Jeffrey S. Racine [aut, cre],
Tristen Hayfield [aut],
Hao Yu [ctb, cph],
The GSL Team [cph],
Numerical Recipes Software [cph] |
| Maintainer: |
Jeffrey S. Racine <racinej at mcmaster.ca> |
| BugReports: |
https://github.com/JeffreyRacine/R-Package-np/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL] |
| Copyright: |
see file COPYRIGHTS |
| URL: |
https://github.com/JeffreyRacine/R-Package-np |
| NeedsCompilation: |
yes |
| SystemRequirements: |
MPI |
| Citation: |
npRmpi citation info |
| Materials: |
README, NEWS, ChangeLog |
| CRAN checks: |
npRmpi results |
Documentation:
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