.runThisTest <- Sys.getenv("RunAllggeffectsTests") == "yes"

if (.runThisTest) {

  if (suppressWarnings(
    requiet("testthat") &&
    requiet("rstanarm") &&
    requiet("ggeffects")
  )) {
    x <- rnorm(30, 0)
    b <- runif(2)
    s <- ifelse(diag(2) == 0, 0.23, 1)
    er <- cbind(rnorm(30, 0, s), rnorm(30, 0, s))
    y <- apply(t(b), 2, `*`, x) + er
    d <- data.frame(y1 = y[,1], y2 = y[,2], x)
    d$group <- sample(c("a", "b", "c"), size = nrow(d), replace = TRUE)
    m1 <- suppressWarnings(rstanarm::stan_mvmer(
      list(
        y1 ~ x + (1 | group),
        y2 ~ x + (1 | group)
      ),
      data = d,
      chains = 2,
      iter = 500,
      refresh = 0
    ))
    m2 <- suppressWarnings(rstanarm::stan_glm(y1 ~ x, data = d, chains = 2, iter = 500, refresh = 0))

    test_that("ggpredict, rstanarm-ppd", {
      expect_s3_class(ggpredict(m1, ppd = TRUE), "ggalleffects")
      expect_s3_class(ggpredict(m1, "x", ppd = TRUE), "data.frame")
      expect_s3_class(ggpredict(m2, ppd = TRUE), "ggalleffects")
      expect_s3_class(ggpredict(m2, "x", ppd = TRUE), "data.frame")
    })

    test_that("ggpredict, rstanarm-ppd", {
      expect_error(ggpredict(m1, ppd = FALSE))
      expect_error(ggpredict(m1, "x", ppd = FALSE))
      expect_s3_class(ggpredict(m2, ppd = FALSE), "ggalleffects")
      expect_s3_class(ggpredict(m2, "x", ppd = FALSE), "data.frame")
    })
  }
}