Publication: The np package: kernel methods for categorical and continuous data
All || By Area || By YearTitle | The np package: kernel methods for categorical and continuous data | Authors/Editors* | Jeffrey S. Racine, Tristen Hayfield |
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Where published* | The R Journal |
How published* | Journal |
Year* | 2007 |
Volume | -1 |
Number | -1 |
Pages | |
Publisher | The R Foundation |
Keywords | |
Link | |
Abstract |
The np package implements recently developed kernel methods that seamlessly handle the mix of continuous, unordered, and ordered factor datatypes often found in applied settings. The package also allows the user to create their own routines using high-level function calls rather than writing their own C or Fortran code. The design philosophy underlying np is simply to provide an intuitive, flexible, and extensible environment for applied kernel estimation. |
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