Nonparametric Kernel Smoothing Methods for Mixed Data Types R package np version 0.70-5 CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) 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, <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://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. Software Depends: R (>= 3.5.0) Imports: boot, cubature, methods, quadprog, quantreg, stats, crs (>= 0.15-44) LinkingTo: crs (>= 0.15-44) Suggests: MASS, logspline, ks, testthat, withr, knitr, rmarkdown, rgl Jeffrey S. Racine <racinej@mcmaster.ca> Comprehensive R Archive Network (CRAN) Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut] GPL 2026-07-15 application/tgz https://CRAN.R-project.org/package=np doi:10.32614/CRAN.package.np