np

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, <http://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <http://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <http://www.sharcnet.ca>).

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Description file content

Package
np
Version
0.60-9
Date
2018-10-24
Imports
boot, cubature, methods, quadprog, quantreg, stats
Suggests
MASS
Title
Nonparametric Kernel Smoothing Methods for Mixed Data Types
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, ).
License
GPL
URL
BugReports
https://github.com/JeffreyRacine/R-Package-np/issues
Repository
CRAN
NeedsCompilation
yes
Packaged
2018-10-24 19:29:10 UTC; jracine
Author
Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Date/Publication
2018-10-25 04:30:06 UTC

install.packages('np')

0.60-9

10 months ago

https://github.com/JeffreyRacine/R-Package-np

Jeffrey S. Racine

GPL

Imports

boot, cubature, methods, quadprog, quantreg, stats

Suggests

MASS

Discussions