GoFKernel-package: Testing Goodness-of-fit with the Kernel Density Estimator
In GoFKernel: Testing Goodness-of-Fit with the Kernel Density Estimator
Description
Details
Author(s)
References
Description
Tests of goodness-of-fit based on kernel smoothing of the data.
Details
Package: GoFKernel
Depends: R (>=2.17.3), stats, KernSmooth (>=2.23-8)
Type: Package
Version: 2.1-1
Date: 2018-05-26
License: GPL
The most important functions in GoFKernel are dgeometric.test and fan.test.
Author(s)
Jose M. Pavia
Maintainer: Jose M. Pavia <Jose.M.Pavia@uv.es>
References
Fan, Y (1994) "Testing the goodness-of-fit of a parametric density function by kernel method", Econometric Theory, 10, 316-356.
Li, O. and Racine, J.F. (2007) "Nonparametric Econometrics", Princeton University Press, New Jersey.
Pavia, JM (2015) "Testing Goodness-of-fit with the Kernel Density Estimator: GoFKernel", Journal of Statistical Software, Code Snippets, 66(1), 1–27.
GoFKernel documentation built on May 2, 2019, 11:41 a.m.
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Description Details Author(s) References
Description
Tests of goodness-of-fit based on kernel smoothing of the data.
Details
| Package: | GoFKernel |
| Depends: | R (>=2.17.3), stats, KernSmooth (>=2.23-8) |
| Type: | Package |
| Version: | 2.1-1 |
| Date: | 2018-05-26 |
| License: | GPL |
The most important functions in GoFKernel are dgeometric.test and fan.test.
Author(s)
Jose M. Pavia
Maintainer: Jose M. Pavia <Jose.M.Pavia@uv.es>
References
Fan, Y (1994) "Testing the goodness-of-fit of a parametric density function by kernel method", Econometric Theory, 10, 316-356.
Li, O. and Racine, J.F. (2007) "Nonparametric Econometrics", Princeton University Press, New Jersey.
Pavia, JM (2015) "Testing Goodness-of-fit with the Kernel Density Estimator: GoFKernel", Journal of Statistical Software, Code Snippets, 66(1), 1–27.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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