R in a Nutshell

KernSmooth

This package provides functions for kernel smoothing.

Functions

Function	Description
bkde	Returns x and y coordinates of the binned kernel density estimate of the probability density of the data.
bkde2D	Returns the set of grid points in each coordinate direction, and the matrix of density estimates over the mesh induced by the grid points. The kernel is the standard bivariate normal density.
bkfe	Returns an estimate of a binned approximation to the kernel estimate of the specified density function. The kernel is the standard normal density.
dpih	Uses direct plug-in methodology to select the bin width of a histogram.
dpik	Uses direct plug-in methodology to select the bandwidth of a kernel density estimate.
dpill	Uses direct plug-in methodology to select the bandwidth of a local linear Gaussian kernel regression estimate.
locpoly	Estimates a probability density function, regression function, or their derivatives using local polynomials. A fast binned implementation over an equally spaced grid is used.