lg (version 0.4.1)

dmvnorm_wrapper: Wrapper for dmvnorm

Description

dmvnorm_wrapper is a function that evaluates the bivariate normal distribution in a matrix of evaluation points, with local parameters.

Usage

dmvnorm_wrapper(eval_points, mu_1 = rep(0, nrow(eval_points)),
  mu_2 = rep(0, nrow(eval_points)), sig_1 = rep(1, nrow(eval_points)),
  sig_2 = rep(1, nrow(eval_points)), rho = rep(0, nrow(eval_points)),
  run_checks = TRUE)

Arguments

eval_points

A kx2 matrix with evaluation points

mu_1

The first expectation vector

mu_2

The second expectation vector

sig_1

The first standard deviation vector

sig_2

The second standard deviation vector

rho

The correlation vector

run_checks

Run sanity check for the arguments

Details

This functions takes as arguments a matrix of grid points, and vectors of parameter values, and returns the bivariate normal density at these points, with these parameter values.