Nothing
library(joineRML)
test_that("plot.dynSurv runs for first-order and simulated predictions", {
skip_on_cran()
skip_on_os("mac")
fit <- fit_pbc_uni()
nd <- pbc_newdata()
ds <- dynSurv(fit, nd, progress = FALSE)
set.seed(11)
ds_sim <- dynSurv(fit, nd, type = "simulated", M = 5, progress = FALSE)
pdf(NULL)
on.exit(dev.off())
expect_invisible(suppressWarnings(plot(ds, main = "P1")))
expect_invisible(suppressWarnings(plot(ds, smooth = TRUE)))
expect_invisible(suppressWarnings(plot(ds_sim)))
expect_invisible(suppressWarnings(plot(ds_sim, estimator = "mean")))
expect_error(suppressWarnings(plot(ds_sim, estimator = "bad")),
"'mean' or 'median'")
expect_error(suppressWarnings(plot(ds, ylab1 = c("a", "b"))),
"does not match number of outcomes")
expect_error(plot.dynSurv(1), "Use only with 'dynSurv' objects")
})
test_that("plot.dynLong runs for first-order and simulated predictions", {
skip_on_cran()
skip_on_os("mac")
fit <- fit_pbc_uni()
nd <- pbc_newdata()
dl <- dynLong(fit, nd, progress = FALSE)
set.seed(11)
dl_sim <- dynLong(fit, nd, type = "simulated", M = 5, progress = FALSE)
pdf(NULL)
on.exit(dev.off())
expect_invisible(plot(dl, main = "P1"))
expect_invisible(plot(dl_sim))
expect_invisible(plot(dl_sim, estimator = "mean"))
expect_error(plot(dl, ylab = c("a", "b")),
"does not match number of outcomes")
expect_error(plot.dynLong(1), "Use only with 'dynLong' objects")
})
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