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  "Title": "Categorical Regression Splines",
  "Authors@R": "c(person(given = \"Jeffrey S.\", family = \"Racine\", role = c(\"aut\",\"cre\"), email = \"racinej@mcmaster.ca\"),\nperson(given = \"Zhenghua\", family = \"Nie\", role = c(\"aut\"), email = \"niez@mcmaster.ca\"),\nperson(given = \"Brian D.\", family = \"Ripley\", role = c(\"ctb\"), comment = \"stepCV.R\"))",
  "Description": "Regression splines that handle a mix of continuous and\ncategorical (discrete) data often encountered in applied\nsettings. I would like to gratefully acknowledge support from\nthe Natural Sciences and Engineering Research Council of Canada\n(NSERC, <https://www.nserc-crsng.gc.ca>), the Social Sciences\nand Humanities Research Council of Canada (SSHRC,\n<https://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical\nAcademic Research Computing Network (SHARCNET,\n<https://www.sharcnet.ca>). We would also like to acknowledge\nthe contributions of the GNU GSL authors. In particular, we\nadapt the GNU GSL B-spline routine gsl_bspline.c adding\nautomated support for quantile knots (in addition to uniform\nknots), providing missing functionality for derivatives, and\nfor extending the splines beyond their endpoints.",
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