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, <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://www.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.
|Imports:||boot, stats, np, quantreg|
|Suggests:||logspline, quadprog, rgl|
|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 (≥ 3)|
|Copyright:||see file COPYRIGHTS|
|CRAN checks:||crs results|
The crs Package
Frequently Asked Questions (crs)
A Primer on Spline Regression
|Windows binaries:||r-devel: crs_0.15-36.zip, r-release: crs_0.15-36.zip, r-oldrel: crs_0.15-36.zip|
|macOS binaries:||r-release (arm64): crs_0.15-36.tgz, r-oldrel (arm64): crs_0.15-36.tgz, r-release (x86_64): crs_0.15-36.tgz, r-oldrel (x86_64): crs_0.15-36.tgz|
|Old sources:||crs archive|
|Reverse suggests:||laGP, mlr|
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