Package: np Version: 0.70-5 Date: 2026-06-26 Depends: R (>= 3.5.0) Imports: boot, cubature, methods, quadprog, quantreg, stats, crs (>= 0.15-44) Suggests: MASS, logspline, ks, testthat, withr, knitr, rmarkdown, rgl LinkingTo: crs (>= 0.15-44) VignetteBuilder: knitr Config/testthat/edition: 3 RoxygenNote: 0.0.0 Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types Authors@R: c(person(given = "Jeffrey S.", family = "Racine", role = c("aut","cre"), email = "racinej@mcmaster.ca"), person(given = "Tristen", family = "Hayfield", role = c("aut"), email = "tristen.hayfield@gmail.com")) Maintainer: Jeffrey S. Racine Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, ), the Social Sciences and Humanities Research Council of Canada (SSHRC, ), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, ). 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. License: GPL Encoding: UTF-8 URL: https://github.com/JeffreyRacine/R-Package-np BugReports: https://github.com/JeffreyRacine/R-Package-np/issues Config/pak/sysreqs: make Repository: https://jeffreyracine.r-universe.dev Date/Publication: 2026-07-03 22:27:47 UTC RemoteUrl: https://github.com/jeffreyracine/r-package-np RemoteRef: HEAD RemoteSha: 9379d20e1069a972a609e06060bdb1dd4b9fd1e2 NeedsCompilation: yes Packaged: 2026-07-03 23:15:27 UTC; root Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]