Compute a Three Dimension Kernel Density Estimate
Description
Evaluates a three dimensional kernel density estimate using a Gaussian kernel with diagonal covariance matrix on a regular grid.
Usage
1 
Arguments
x,y,z 

h 
vector of three bandwidths for the density estimate;
recycled if length is less than three; default is based on the
normal reference bandwidth (see 
n 
numbers of grid points to use for each dimension; recycled if length is less than three. 
lims 
lower and upper limits on the region for which the density
estimate is to be computed, provides as a vector of length 6,
corresponding to low and high values of 
Value
A list of four components, x
, y
, z
, and
d
. x
, y
, and z
are the coordinates of the
grid points at which the density estimate has been evaluated, and
d
is a three dimensional array of the estimated density values.
References
Based on the function kde2d
in package
MASS.
See Also
kde2d
.
Examples
1 2 3 4 5 6 
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