############################################
########## gamlss.dist ##########
########## Distribution tests ##########
## Zero adjusted Poisson inverse: ZAPIG() ##
############################################
## Context
testthat::context("ZAPIG")
## Seed
set.seed(203)
## Family
fam <- ZAPIG()
## Random Values
n <- 1e5
mu <- 1
sigma <- 1
nu <- 0.3
rvec <- rZAPIG(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) # not robust
## 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)
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