This page is intended to be a simple example illustrating some of the capabilities of the GASP program. Provided a set of data, the procedure will compute a kernel density estimate (see Silverman (1986) or other references for details) at a specified number of points, and plot the resulting estimate. The user can choose from among several kernels, and specify both a bandwidth value and the number of points at which the estimate is computed.
There are several possibilities of entering data to the program.
The source code (in R) is also available.
Reference:
Silverman, B. W. (1986). Density Estimation for Statistics and Data
Analysis. Chapman and Hall: London.