Nothing
skip_if_not_installed("effectsize")
skip_if_not_installed("lme4")
skip_on_cran()
data(iris)
set.seed(1234)
iris$grp <- as.factor(sample(1:3, nrow(iris), replace = TRUE))
# fit example model
model <- lme4::lmer(
Sepal.Length ~ Species * Sepal.Width + Petal.Length + (1 | grp),
data = iris
)
test_that("model_parameters, standardize-refit, wald-normal", {
params <- model_parameters(
model,
ci_method = "normal",
standardize = "refit",
verbose = FALSE,
effects = "fixed"
)
expect_equal(c(nrow(params), ncol(params)), c(7, 10))
expect_equal(
params$Coefficient,
c(
0.96949,
-1.28631,
-1.81461,
0.34791,
1.74252,
-0.25421,
-0.18834
),
tolerance = 1e-3
)
expect_equal(
params$SE,
c(0.2045, 0.2619, 0.34035, 0.05968, 0.13914, 0.09762, 0.0945),
tolerance = 1e-3
)
expect_equal(
params$CI_high,
c(
1.37031,
-0.77301,
-1.14754,
0.46488,
2.01523,
-0.06287,
-0.00312
),
tolerance = 1e-3
)
})
test_that("model_parameters, standardize-refit, wald-t", {
params <- model_parameters(
model,
ci_method = "wald",
standardize = "refit",
verbose = FALSE,
effects = "fixed"
)
expect_equal(
params$CI_high,
c(
1.37378,
-0.76856,
-1.14177,
0.4659,
2.01759,
-0.06121,
-0.00151
),
tolerance = 1e-3
)
})
test_that("model_parameters, standardize-refit", {
params <- model_parameters(
model,
standardize = "refit",
verbose = FALSE,
effects = "fixed"
)
expect_equal(c(nrow(params), ncol(params)), c(7, 10))
expect_equal(
params$Coefficient,
c(
0.96949,
-1.28631,
-1.81461,
0.34791,
1.74252,
-0.25421,
-0.18834
),
tolerance = 1e-3
)
expect_equal(params$SE,
c(0.2045, 0.2619, 0.34035, 0.05968, 0.13914, 0.09762, 0.0945),
tolerance = 1e-3
)
expect_equal(
params$CI_high,
c(
1.37378,
-0.76856,
-1.14177,
0.4659,
2.01759,
-0.06121,
-0.00151
),
tolerance = 1e-3
)
params <- model_parameters(
model,
standardize = "refit",
verbose = FALSE,
effects = "all"
)
paramsZ <- model_parameters(
effectsize::standardize(model),
effects = "all",
verbose = FALSE
)
expect_equal(paramsZ, params, ignore_attr = TRUE)
})
test_that("model_parameters, standardize-posthoc", {
params <- model_parameters(model,
standardize = "posthoc",
verbose = FALSE,
effects = "fixed"
)
expect_equal(c(nrow(params), ncol(params)), c(7, 10))
expect_equal(
params$Std_Coefficient,
c(0, 0.49679, -0.49355, 0.34791, 1.74252, -0.25421, -0.18834),
tolerance = 1e-3
)
expect_equal(params$SE,
c(0, 0.66228, 0.70202, 0.05968, 0.13914, 0.09762, 0.0945),
tolerance = 1e-3
)
expect_equal(
params$CI_high,
c(0, 1.80607, 0.8943, 0.4659, 2.01759, -0.06121, -0.00151),
tolerance = 1e-3
)
})
test_that("model_parameters, standardize-posthoc", {
params <- model_parameters(
model,
ci_method = "normal",
standardize = "posthoc",
verbose = FALSE,
effects = "fixed"
)
expect_equal(c(nrow(params), ncol(params)), c(7, 10))
expect_equal(
params$Std_Coefficient,
c(0, 0.49679, -0.49355, 0.34791, 1.74252, -0.25421, -0.18834),
tolerance = 1e-3
)
expect_equal(
params$SE,
c(0, 0.66228, 0.70202, 0.05968, 0.13914, 0.09762, 0.0945),
tolerance = 1e-3
)
expect_equal(
params$CI_high,
c(0, 1.79483, 0.88238, 0.46488, 2.01523, -0.06287, -0.00312),
tolerance = 1e-3
)
})
test_that("model_parameters, standardize-posthoc, wald-t", {
params <- model_parameters(
model,
ci_method = "wald",
standardize = "posthoc",
verbose = FALSE,
effects = "fixed"
)
expect_equal(
params$CI_high,
c(0, 1.80607, 0.8943, 0.4659, 2.01759, -0.06121, -0.00151),
tolerance = 1e-3
)
})
test_that("model_parameters, standardize-basic", {
params <- model_parameters(
model,
ci_method = "normal",
standardize = "basic",
verbose = FALSE,
effects = "fixed"
)
expect_equal(c(nrow(params), ncol(params)), c(7, 10))
expect_equal(
params$Std_Coefficient,
c(0, 0.23497, -0.23344, 0.34791, 1.74252, -0.77129, -0.61304),
tolerance = 1e-3
)
expect_equal(params$SE,
c(0, 0.31325, 0.33204, 0.05968, 0.13914, 0.2962, 0.30761),
tolerance = 1e-3
)
expect_equal(
params$CI_high,
c(0, 0.84893, 0.41735, 0.46488, 2.01523, -0.19075, -0.01014),
tolerance = 1e-3
)
})
test_that("model_parameters, standardize-basic", {
params <- model_parameters(
model,
ci_method = "residual",
standardize = "basic",
verbose = FALSE,
effects = "fixed"
)
expect_equal(c(nrow(params), ncol(params)), c(7, 10))
expect_equal(
params$Std_Coefficient,
c(0, 0.23497, -0.23344, 0.34791, 1.74252, -0.77129, -0.61304),
tolerance = 1e-3
)
expect_equal(
params$SE,
c(0, 0.31325, 0.33204, 0.05968, 0.13914, 0.2962, 0.30761),
tolerance = 1e-3
)
expect_equal(
params$CI_high,
c(0, 0.85424, 0.42299, 0.4659, 2.01759, -0.18572, -0.00492),
tolerance = 1e-3
)
})
test_that("model_parameters, standardize-basic", {
params <- model_parameters(model,
standardize = "basic",
verbose = FALSE,
effects = "fixed"
)
expect_equal(
params$CI_high,
c(0, 0.85424, 0.42299, 0.4659, 2.01759, -0.18572, -0.00492),
tolerance = 1e-3
)
})
test_that("model_parameters, standardize-refit robust", {
skip_if_not_installed("clubSandwich")
params <- model_parameters(
model,
standardize = "refit",
effects = "fixed",
robust = TRUE,
vcov_estimation = "CR",
vcov_type = "CR1",
vcov_args = list(cluster = iris$grp),
verbose = FALSE
)
expect_equal(c(nrow(params), ncol(params)), c(7, 10))
expect_equal(
params$Coefficient,
c(
0.96949,
-1.28631,
-1.81461,
0.34791,
1.74252,
-0.25421,
-0.18834
),
tolerance = 1e-3
)
expect_equal(
params$SE,
c(0.07726, 0.33406, 0.22647, 0.0524, 0.10092, 0.18537, 0.05552),
tolerance = 1e-3
)
expect_equal(
params$CI_high,
c(
1.12224,
-0.6259,
-1.36691,
0.45151,
1.94204,
0.11227,
-0.07858
),
tolerance = 1e-3
)
})
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