########################################
####### gamlss.dist #########
####### Distribution tests #########
##### Normal-Exponential-t: NET() ######
########################################
## Context
testthat::context("NET")
## Seed
set.seed(239)
## Family
fam <- NET()
## Random Values
n <- 1e6
mu <- 1
sigma <- 1
nu <- 4
tau <- 4
rvec <- gamlss.dist:::rNET(n, mu, sigma, nu, tau) # Conflict: nu and tau have to be larger than 3, otherwise the variance goes to Inf
## Empirical Moments
ex_emp <- mean(rvec)
vx_emp <- var(rvec)
## Theoretical moments
ex_theo <- fam$mean(mu, sigma, nu, tau)
vx_theo <- fam$variance(mu, sigma, nu, tau)
## Test here if they are about the same
expect_true(abs(ex_emp - ex_theo) < 0.02)
expect_true(abs(vx_emp - vx_theo) < 0.02)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.