gaussian_kernel: Calculate a discretization of the 2D Gaussian Kernel

In roliveros-ramos/calibrar: Automated Parameter Estimation for Complex Models

Calculate a discretization of the 2D Gaussian Kernel

Description

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.

roliveros-ramos/calibrar documentation built on March 15, 2024, 12:08 a.m.