############################################
######### gamlss.dist ###########
######### Distribution tests 2 ###########
## Zero adjusted Inverse Gaussian: ZAIG() ##
############################################
## Context
testthat::context("ZAIG 2")
## Seed
set.seed(2345)
## Family
fam <- ZAIG()
## Random Values
i <- 0.5
n <- 1e4 # a larger sample size gives uniroot errors
mu <- 1 + i
sigma <- 1 + i
nu <- 0.1 + i
rvec <- rZAIG(n, mu, sigma, nu)
## Empirical Moments
ex_emp <- mean(rvec)
vx_emp <- var(rvec)
## Theoretical moments
ex_theo <- fam$mean(mu, sigma, nu)
vx_theo <- fam$variance(mu, sigma, nu)
## Test here if they are about the same
expect_true(abs(ex_emp - ex_theo) < 0.02)
expect_true(abs(vx_emp - vx_theo) < 0.23)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.