np (0.60-10)

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Nonparametric Kernel Smoothing Methods for Mixed Data Types.

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, ).

Maintainer: Jeffrey S. Racine
Author(s): Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]

License: GPL

Uses: boot, cubature, quadprog, quantreg, MASS
Reverse depends: causalweight, CovSel, DepthProc, FIAR, generalCorr, micEcon, rddtools, semsfa, stam
Reverse suggests: AER, BNSP, crs, mlr3proba, mlt.docreg, spaero

Released 4 months ago.

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