ks1.14.3 package

Linear binning for multivariate data

Contour functions

Biased cross-validation (BCV) bandwidth matrix selector for bivariate ...

Histogram density estimate

Least-squares cross-validation (LSCV) bandwidth matrix selector for mu...

Normal mixture bandwidth

Normal scale bandwidth

Plug-in bandwidth selector

Smoothed cross-validation (SCV) bandwidth selector

Squared error bandwidth matrix selectors for normal mixture densities

Kernel cumulative distribution/survival function estimate

Kernel copula (density) estimate

Kernel discriminant analysis (kernel classification)

Deconvolution kernel density derivative estimate

Kernel density derivative estimate

Kernel density estimate for bounded data

Kernel density based local two-sample comparison test

Kernel density estimate

Kernel density based global two-sample comparison test

Truncated kernel density derivative estimate

Kernel density ridge estimation

Kernel functional estimate

Kernel feature significance

Kernel mean shift clustering

Kernel receiver operating characteristic (ROC) curve

Internal functions in the ks library

ks

Kernel support estimate

Normal and t-mixture distributions

Plot for histogram density estimate

Plot for kernel cumulative distribution estimate

Plot for kernel discriminant analysis

Plot for kernel density derivative estimate

Plot for kernel local significant difference regions

Partition plot for kernel density clustering

Plot for kernel density estimate

Plot for kernel feature significance

Plot for kernel receiver operating characteristic curve (ROC) estimate

Plot for 1- to 3-dimensional normal and t-mixture density functions

Pre-sphering and pre-scaling

Derived quantities from kernel density estimates

Vector and vector half operators

Variable kernel density estimate.