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| amise.mixt | Squared error bandwidth matrix selectors for normal mixture densities |
| binning | Linear binning for multivariate data |
| compare | Kernel discriminant analysis |
| compare.kda.cv | Kernel discriminant analysis |
| compare.kda.diag.cv | Kernel discriminant analysis |
| contourLevels | Contours functions |
| contourLevels.kda | Contours functions |
| contourLevels.kde | Contours functions |
| contourSizes | Contours functions |
| dkde | Functions for univariate kernel density estimates |
| dmvnorm.mixt | Normal and t-mixture distributions |
| dmvt.mixt | Normal and t-mixture distributions |
| dnorm.mixt | Normal and t-mixture distributions |
| Hamise.mixt | Squared error bandwidth matrix selectors for normal mixture densities |
| hamise.mixt | Squared error bandwidth matrix selectors for normal mixture densities |
| Hamise.mixt.diag | Squared error bandwidth matrix selectors for normal mixture densities |
| Hbcv | Biased cross-validation (BCV) bandwidth matrix selector for bivariate data |
| Hbcv.diag | Biased cross-validation (BCV) bandwidth matrix selector for bivariate data |
| Hkda | Kernel discriminant analysis |
| hkda | Kernel discriminant analysis |
| Hkda.diag | Kernel discriminant analysis |
| Hlscv | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data |
| hlscv | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data |
| Hlscv.diag | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data |
| Hmise.mixt | Squared error bandwidth matrix selectors for normal mixture densities |
| hmise.mixt | Squared error bandwidth matrix selectors for normal mixture densities |
| Hmise.mixt.diag | Squared error bandwidth matrix selectors for normal mixture densities |
| Hns | Normal scale bandwidth |
| hns | Normal scale bandwidth |
| Hns.kcde | Normal scale bandwidth |
| hns.kcde | Normal scale bandwidth |
| Hpi | Plug-in bandwidth selector |
| hpi | Plug-in bandwidth selector |
| Hpi.diag | Plug-in bandwidth selector |
| Hpi.diag.kcde | Kernel cumulative distribution/survival function estimate |
| Hpi.diag.kfe | Kernel functional estimate |
| Hpi.kcde | Kernel cumulative distribution/survival function estimate |
| hpi.kcde | Kernel cumulative distribution/survival function estimate |
| Hpi.kfe | Kernel functional estimate |
| hpi.kfe | Kernel functional estimate |
| Hscv | Smoothed cross-validation (SCV) bandwidth selector |
| hscv | Smoothed cross-validation (SCV) bandwidth selector |
| Hscv.diag | Smoothed cross-validation (SCV) bandwidth selector |
| Hucv | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data |
| hucv | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data |
| Hucv.diag | Least-squares cross-validation (LSCV) bandwidth matrix selector for multivariate data |
| invvec | Vector and vector half operators |
| invvech | Vector and vector half operators |
| ise.mixt | Squared error bandwidth matrix selectors for normal mixture densities |
| kcde | Kernel cumulative distribution/survival function estimate |
| kcopula | Kernel copula/copula density estimate |
| kcopula.de | Kernel copula/copula density estimate |
| kda | Kernel discriminant analysis |
| kdde | Kernel density derivative estimate |
| kde | Kernel density estimate |
| kde.local.test | Kernel density based local two-sample comparison test |
| kde.test | Kernel density based global two-sample comparison test |
| kfe | Kernel functional estimate |
| kroc | Kernel receiver operating characteristic (ROC) curve |
| ks | ks |
| mise.mixt | Squared error bandwidth matrix selectors for normal mixture densities |
| pkde | Functions for univariate kernel density estimates |
| plot.kcde | Plot for kernel cumulative distribution estimate |
| plot.kda | Plot for kernel discriminant analysis |
| plot.kdde | Plot for kernel density derivative estimate |
| plot.kde | Plot for kernel density estimate |
| plot.kde.loctest | Plot for kernel local significant difference regions |
| plot.kroc | Plot for kernel receiver operating characteristic curve (ROC) estimate |
| plotmixt | Plot for 1- to 3-dimensional normal and t-mixture density functions. |
| pre.scale | Pre-sphering and pre-scaling |
| pre.sphere | Pre-sphering and pre-scaling |
| predict.kcde | Kernel cumulative distribution/survival function estimate |
| predict.kda | Kernel discriminant analysis |
| predict.kdde | Kernel density derivative estimate |
| predict.kde | Kernel density estimate |
| predict.kroc | Kernel receiver operating characteristic (ROC) curve |
| qkde | Functions for univariate kernel density estimates |
| rkde | Functions for univariate kernel density estimates |
| rmvnorm.mixt | Normal and t-mixture distributions |
| rmvt.mixt | Normal and t-mixture distributions |
| rnorm.mixt | Normal and t-mixture distributions |
| summary.kroc | Kernel receiver operating characteristic (ROC) curve |
| unicef | Unicef child mortality - life expectancy data |
| vec | Vector and vector half operators |
| vech | Vector and vector half operators |