crs

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.

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