Calculate a discretization of the 2D Gaussian Kernel — gaussian_kernel • calibrar

Calculate a discretization of the 2D Gaussian Kernel

Usage

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.