Tristen Hayfield <hayfield@phys.ethz.ch>, Jeffrey S. Racine <racinej@mcmaster.ca>

Nonparametric kernel smoothing methods for mixed data types
This package provides a variety of 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:www.nserc.ca), the Social Sciences and Humanities Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared Hierarchical Academic Research Computing Network (SHARCNET:www.sharcnet.ca).

Tristen Hayfield <hayfield@phys.ethz.ch>, Jeffrey S. Racine
<racinej@mcmaster.ca>
This package provides a variety of 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:www.nserc.ca), the Social Sciences and Humanities
Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared
Hierarchical Academic Research Computing Network
(SHARCNET:www.sharcnet.ca).

Tristen Hayfield <hayfield@mpia.de>, Jeffrey S. Racine
<racinej@mcmaster.ca>

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"))
This package provides a variety of 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:www.nserc.ca), the Social Sciences and Humanities Research Council of Canada (SSHRC:www.sshrc.ca), and the Shared Hierarchical Academic Research Computing Network (SHARCNET:www.sharcnet.ca).
Jeffrey S. Racine [aut, cre],
Tristen Hayfield [aut]