#######################################
####### gamlss.dist ########
####### Distribution tests ########
##### Inverse gamma: IGAMMA() ######
#######################################
## Context
testthat::context("IGAMMA")
## Seed
set.seed(222)
## Family
fam <- IGAMMA()
## Random Values
mu <- 1
sigma <- 0.5
rvec <- rIGAMMA(1e6, mu, sigma)
## Empirical Moments
ex_emp <- round(mean(rvec), 3)
vx_emp <- round(var(rvec), 3)
## Theoretical moments
ex_theo <- round(fam$mean(mu, sigma),3)
vx_theo <- round(fam$variance(mu, sigma),3)
## Test here
expect_true(abs(ex_emp - ex_theo) < 0.01)
expect_true(abs(vx_emp - vx_theo) < 0.02)
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