Calculate a discretization of the 2D Gaussian Kernel

Calculate a discretization of the 2D Gaussian Kernel

gaussian_kernel(par, lower, upper, n = 10, checkSymmetry = TRUE, ...)

Arguments

par

A list, including the mean and covariance matrix.

lower

A vector, indicating the lower bound for the calculation.

upper

A vector, indicating the upper bound for the calculation.

n

The number of cells for each dimension, can be one or two numbers.

checkSymmetry

TRUE by default, checks if the covariance matrix is symmetric.

...

Additional arguments, currently not used.

Value

A list, with 'x', 'y' and 'z' components.