dot-bvnorm_kernel: Helper function for computing the kernel for bivariate normal...

In claycantrell/PartInvShinyUI: Multidimensional Classification Accuracy Analysis Framework

Helper function for computing the kernel for bivariate normal density.

Description

.bvnorm_kernel returns the kernel for bivariate normal density

Usage

.bvnorm_kernel(x, y, mu_x = 0, mu_y = 0, sd_x = 1, sd_y = 1, cov_xy = 0)

Arguments

x	A normal distribution
y	A normal distribution
mu_x	Mean of the normal distribution x.
mu_y	Mean of the normal distribution y.
sd_x	Standard deviation of the normal distribution x.
sd_y	Standard deviation of the normal distribution y.
cov_xy	covariance between x and y

Value

The output will be the quantile corresponding to p or 1 - q on the mixture normal distribution.

Examples

## Not run: 
.bvnorm_kernel(x = -2.50, y = -2.52, mu_x = 1, mu_y = 0.57, sd_x = 1,
sd_y = 1.03, cov_xy = 0.8)

## End(Not run)

claycantrell/PartInvShinyUI documentation built on March 29, 2022, 9:49 a.m.