np
Nonparametric Kernel Smoothing Methods for Mixed Data Types
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, <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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.60-20 |
rolling linux/jammy R-4.5 | np_0.60-20.tar.gz |
2.6 MiB |
0.60-20 |
rolling linux/noble R-4.5 | np_0.60-20.tar.gz |
2.6 MiB |
0.60-20 |
rolling source/ R- | np_0.60-20.tar.gz |
1.3 MiB |
0.60-20 |
latest linux/jammy R-4.5 | np_0.60-20.tar.gz |
2.6 MiB |
0.60-20 |
latest linux/noble R-4.5 | np_0.60-20.tar.gz |
2.6 MiB |
0.60-20 |
latest source/ R- | np_0.60-20.tar.gz |
1.3 MiB |
0.60-20 |
2026-04-26 source/ R- | np_0.60-20.tar.gz |
1.3 MiB |
0.60-20 |
2026-04-23 source/ R- | np_0.60-20.tar.gz |
1.3 MiB |
0.60-20 |
2026-04-09 windows/windows R-4.5 | np_0.60-20.zip |
2.6 MiB |
0.60-18 |
2025-04-20 source/ R- | np_0.60-18.tar.gz |
1.4 MiB |