crs: Categorical Regression Splines

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, <http://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <http://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://www.sharcnet.ca>).

Version: 0.15-31.1
Depends: R (≥ 2.10)
Imports: boot, stats, np, quantreg, rgl
Suggests: logspline, quadprog
Published: 2019-11-25
Author: Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb] (stepCV.R)
Maintainer: Jeffrey S. Racine <racinej at mcmaster.ca>
BugReports: https://github.com/JeffreyRacine/R-Package-crs/issues
License: GPL (≥ 3)
Copyright: see file COPYRIGHTS
URL: https://github.com/JeffreyRacine/R-Package-crs
NeedsCompilation: yes
Materials: README ChangeLog
In views: Optimization
CRAN checks: crs results

Downloads:

Reference manual: crs.pdf
Vignettes: The crs Package
Frequently Asked Questions (crs)
A Primer on Spline Regression
Package source: crs_0.15-31.1.tar.gz
Windows binaries: r-devel: crs_0.15-31.1.zip, r-release: crs_0.15-31.1.zip, r-oldrel: crs_0.15-31.1.zip
macOS binaries: r-release: crs_0.15-31.1.tgz, r-oldrel: crs_0.15-31.1.tgz
Old sources: crs archive

Reverse dependencies:

Reverse imports: cops
Reverse suggests: laGP, mlr

Linking:

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