skip_if_offline()
skip_if_not(getRversion() >= "4.4.0")
suppressWarnings(skip_if_not_installed("glmmTMB"))
suppressWarnings(skip_if_not_installed("geoR"))
skip_if_not_installed("TMB")
data(ca20, package = "geoR")
d <- data.frame(
x = ca20$coords[, 1],
y = ca20$coords[, 2],
calcium = ca20$data,
elevation = ca20$covariate[, 1],
region = factor(ca20$covariate[, 2]),
pos = glmmTMB::numFactor(scale(ca20$coords[, 1]), scale(ca20$coords[, 2])),
ID = factor(rep(1, length(ca20$coords[, 1])))
)
dat <<- d
m1 <- download_model("glmmTMB_spatial_1")
skip_if(is.null(m1))
test_that("find_weights", {
expect_null(find_weights(m1))
})
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
})
test_that("clean_names", {
expect_identical(clean_names(m1), c("calcium", "elevation", "region", "pos", "ID"))
})
test_that("find_predictors", {
expect_identical(
find_predictors(m1, effects = "all"),
list(conditional = c("elevation", "region"), random = c("pos", "ID"))
)
expect_identical(
find_predictors(m1, effects = "all", flatten = TRUE),
c("elevation", "region", "pos", "ID")
)
expect_identical(
find_predictors(m1, effects = "random"),
list(random = "ID")
)
expect_identical(find_predictors(m1, effects = "random", flatten = TRUE), "ID")
})
test_that("find_response", {
expect_identical(find_response(m1), "calcium")
})
test_that("link_inverse", {
expect_identical(link_inverse(m1)(0.2), 0.2)
})
test_that("get_data", {
expect_identical(
colnames(get_data(m1)),
c("calcium", "elevation", "region", "pos", "ID")
)
expect_identical(
colnames(get_data(m1, effects = "all")),
c("calcium", "elevation", "region", "pos", "ID")
)
})
test_that("find_predictors", {
expect_identical(
find_predictors(m1, effects = "fixed", component = "conditional"),
list(conditional = c("elevation", "region"))
)
expect_identical(
find_predictors(m1),
list(conditional = c("elevation", "region"))
)
expect_identical(
find_predictors(m1, effects = "all"),
list(
conditional = c("elevation", "region"),
random = c("pos", "ID")
)
)
})
test_that("find_formula", {
expect_length(find_formula(m1), 2)
expect_equal(
find_formula(m1),
list(
conditional = as.formula("calcium ~ elevation + region"),
random = as.formula("~pos + 0 | ID")
),
ignore_attr = TRUE
)
})
test_that("find_random", {
expect_identical(
find_random(m1),
list(random = "ID")
)
})
test_that("find_terms", {
expect_identical(
find_terms(m1),
list(
response = "calcium",
conditional = c("elevation", "region"),
random = c("pos", "ID")
)
)
})
test_that("find_variables", {
expect_identical(
find_variables(m1),
list(
response = "calcium",
conditional = c("elevation", "region"),
random = c("pos", "ID")
)
)
})
test_that("get_predictors", {
expect_identical(
colnames(get_predictors(m1)),
c("elevation", "region")
)
})
test_that("get_random", {
expect_identical(colnames(get_random(m1)), "ID")
})
test_that("get_data", {
expect_identical(
colnames(get_data(m1)),
c("calcium", "elevation", "region", "pos", "ID")
)
})
test_that("get_parameters", {
expect_identical(nrow(get_parameters(m1)), 4L)
expect_identical(
get_parameters(m1)$Parameter,
c("(Intercept)", "elevation", "region2", "region3")
)
})
test_that("find_random_slopes", {
skip_on_cran()
expect_identical(
find_random_slopes(m1),
list(random = "pos")
)
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.