RNGkind("L'Ecuyer-CMRG")
set.seed(123)

dat <- forstmann
dat$covariate <- 1:nrow(forstmann)

des <- design(data = dat, formula = list(v ~ covariate*E, B ~ E, t0 ~ S),
              model = LBA)

test_that("mapped_pars", {
  expect_snapshot(mapped_pars(des))
  expect_snapshot(mapped_pars(des, p_vector= rnorm(length(sampled_pars(des)))))
  expect_snapshot(mapped_pars(prior(des, mu_mean = c('v_covariate'  = 1))))
  expect_snapshot(mapped_pars(samples_LNR))
  expect_snapshot(mapped_pars(get_prior(samples_LNR)))
  expect_snapshot(mapped_pars(get_design(samples_LNR)))
})

test_that("map", {
  expect_snapshot(credint(samples_LNR, selection = "mu", map = "E"))
  expect_snapshot(credint(samples_LNR, selection = "mu", map = list(~ E*S)))
  expect_snapshot(credint(samples_LNR, selection = "mu", map = TRUE))
})