This package provides for estimating regression splines that handle a mix of continuous and categorical (discrete) data often encountered in applied settings. I would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC:www.nserc.ca), the Social Sciences and Humanities Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared Hierarchical Academic Research Computing Network (SHARCNET:www.sharcnet.ca).
Version: | 0.15-23 |
Imports: | boot, stats |
Suggests: | np, npRmpi, rgl, quadprog, quantreg, logspline |
Published: | 2014-08-11 |
Author: | Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb] (stepCV.R) |
Maintainer: | Jeffrey S. Racine <racinej at mcmaster.ca> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
Copyright: | see file COPYRIGHTS |
URL: | https://github.com/JeffreyRacine/R-Package-crs/ |
NeedsCompilation: | yes |
Materials: | README ChangeLog |
In views: | Optimization |
CRAN checks: | crs results |
Reference manual: | crs.pdf |
Vignettes: |
The crs Package Frequently Asked Questions (crs) A Primer on Spline Regression |
Package source: | crs_0.15-23.tar.gz |
Windows binaries: | r-devel: crs_0.15-23.zip, r-release: crs_0.15-23.zip, r-oldrel: crs_0.15-23.zip |
OS X Snow Leopard binaries: | r-release: crs_0.15-23.tgz, r-oldrel: crs_0.15-23.tgz |
OS X Mavericks binaries: | r-release: crs_0.15-23.tgz |
Old sources: | crs archive |
Reverse suggests: | mlr |