gaussian_kernel function

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.

Returns

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