#######################################
####### gamlss.dist ########
####### Distribution tests ########
### Sec parametr. Johnson SU: JSU() ###
#######################################
## Context
testthat::context("JSU")
## Seed
set.seed(222)
## Family
fam <- JSU()
## Random Values
mu <- 0
sigma <- 1
nu <- 1
tau <- 1
rvec <- rJSU(1e6, mu, sigma, nu, tau)
## Empirical Moments
ex_emp <- round(mean(rvec), 3)
vx_emp <- round(var(rvec), 3)
## Theoretical moments
ex_theo <- round(fam$mean(mu, sigma, nu, tau),3)
vx_theo <- round(fam$variance(mu, sigma, nu, tau),3)
## Test here
expect_true(abs(ex_emp - ex_theo) < 0.01)
expect_true(abs(vx_emp - vx_theo) < 0.01) # not true -> larger deviations between empirical and theoretical
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