cvmgof v1.0.0

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Cramer-von Mises Goodness-of-Fit Tests

It is devoted to Cramer-von Mises goodness-of-fit tests. It implements three statistical methods based on Cramer-von Mises statistics to estimate and test a regression model.

Functions in cvmgof

Name Description
df.bandwidth.selection.linkfunction Bandwidth selection of the link function under the null hypothesis
df.linkfunction.estim Local linear estimation of the regression function
vkgmss.linkfunction.estim Kernel estimation of the regression function
vkgmss.residuals.cdf.estim Kernel estimation of the error distribution
acgm.linkfunction.estim Local linear estimation of the regression function
acgm.bandwidth.selection.linkfunction Bandwidth selection of the link function under the null hypothesis
kernel.function.quart Quartic kernel
vkgmss.statistics Local test statistic for the regression function
vkgmss.sd.estim Kernel estimation of the standard deviation function
vkgmss.bandwidth.selection.linkfunction Bandwidth selection of the link function under the null hypothesis
kernel.function.epan Epanechnikov kernel
kernel.function.gauss Gaussian kernel
df.cdf.estim Local linear estimation of the conditional distribution function
acgm.statistics Local test statistic for the regression function
df.statistics Global test statistic for the conditional distribution function
df.test.bootstrap Global test for the conditional distribution function
acgm.test.bootstrap Local test for the regression function
vkgmss.test.bootstrap Local test for the regression function
cvmgof cvmgof
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Details

Type Package
License CeCILL
Encoding UTF-8
LazyData FALSE
RoxygenNote 6.1.0
NeedsCompilation no
Packaged 2018-11-29 12:48:23 UTC; romain
Repository CRAN
Date/Publication 2018-12-03 19:50:09 UTC

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