context("test sim_fit")
## generate ssm obj a quickly as possible
## have to do this to avoid error when calling st_transform on platforms running
## older GDAL versions (ellie is highly sub-sampled for this purpose)
xs <- fit_ssm(ellie,
spdf=FALSE,
model = "crw",
time.step=72,
control = ssm_control(verbose = 0))
trs <- sim_fit(xs, what = "fitted", reps = 2)
test_that("sim_fit returns sim_fit nested tibble with 2 rows", {
expect_s3_class(trs, "sim_fit")
expect_s3_class(trs, "crws")
expect_equal(nrow(trs), 1)
})
test_that("sim_fit returns a tibble including estimated track, rep = 0", {
expect_equal(trs$sims[[1]]$rep[1], 0)
})
test_that("sim_fit returns sim_fit nested tibble with 2 rows", {
trs <- sim_fit(xs, what = "predicted", reps = 2)
expect_s3_class(trs, "sim_fit")
expect_s3_class(trs, "crws")
expect_equal(nrow(trs), 1)
})
test_that("sim_fit returns a tibble excluding estimated track, rep = 0", {
trs <- sim_fit(xs, what = "p", reps = 2, sim_only = TRUE)
expect_equal(trs$sims[[1]]$rep[1], 1)
})
test_that("sim returns a tibble with class sim", {
trs <- sim(N=50, model = "mp", error = "kf", tdist = "gamma")
expect_s3_class(trs, "sim")
expect_equal(nrow(trs), 50)
})
test_that("sim returns a tibble with class sim", {
trs <- sim(N=50, model = "mp", error = "kf", tdist = "reg")
expect_s3_class(trs, "sim")
expect_equal(nrow(trs), 50)
})
test_that("sim returns a tibble with class sim", {
trs <- sim(N=50, model = "mp", error = "ls", tdist = "reg")
expect_s3_class(trs, "sim")
expect_equal(nrow(trs), 50)
})
test_that("sim returns a tibble with class sim", {
trs <- sim(N=50, model = "rw", error = "ls", tdist = "reg")
expect_s3_class(trs, "sim")
expect_equal(nrow(trs), 50)
})
test_that("sim returns a tibble with class sim", {
trs <- sim(N=50, model = "crw", error = "ls", tdist = "reg")
expect_s3_class(trs, "sim")
expect_equal(nrow(trs), 50)
})
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