Compute the M0 least-squares cross-validation score.
Usage
M0(grid, kern.fun, ...)
Arguments
grid
an object of class linbin.
kern.fun
the density function of the kernel. The first argument must be a matrix whose rows contain the points where the density function will be evaluated. See, for example, the dmvnorm function in the mvtnorm package.
...
additional arguments are passed to kern.fun.
Value
a single numeric value: the M0 least-squares cross-validation score.
References
Silverman, B. W. (1986) Density Estimation for Statistics and Data Analysis. London: Chapman and Hall.