gmm_1 <- list(alpha = c(0.4, 0.6),
mu = matrix(c(0, 2, 4, 1, 3, 5), 3,
dimnames = list(c("A", "B", "C"), NULL)),
sigma = list(matrix(c(1, 1, 1, 1, 2, 2, 1, 2, 3), 3,
dimnames = list(c("A", "B", "C"),
c("A", "B", "C"))),
matrix(c(2, 3, 1, 3, 5, 2, 1, 2, 4), 3,
dimnames = list(c("A", "B", "C"),
c("A", "B", "C")))))
class(gmm_1) <- "gmm"
gmm_2 <- list(alpha = 1,
mu = matrix(0, 2, dimnames = list(c("A", "B"), NULL)),
sigma = list(matrix(1, 2, 2,
dimnames = list(c("A", "B"), c("A", "B")))))
class(gmm_2) <- "gmm"
test_that("conditionalize a gmm object", {
expect_equal(conditional(gmm_1, "C"),
list(alpha = c(0.4, 0.6),
mu_x = matrix(c(0, 2, 1, 3), 2,
dimnames = list(c("A", "B"), NULL)),
sigma_x = list(matrix(c(1, 1, 1, 2), 2,
dimnames = list(c("A", "B"),
c("A", "B"))),
matrix(c(2, 3, 3, 5), 2,
dimnames = list(c("A", "B"),
c("A", "B")))),
coeff = list(matrix(c(2, 0, 1),
dimnames = list(c("(Intercept)", "A",
"B"),
"C")),
matrix(c(3, - 1, 1),
dimnames = list(c("(Intercept)", "A",
"B"),
"C"))),
sigma_c = list(matrix(1, dimnames = list("C", "C")),
matrix(3, dimnames = list("C", "C")))))
})
test_that("conditionalize a gmm object with unordered dependent variables", {
expect_equal(conditional(gmm_1, c("C", "B")),
list(alpha = c(0.4, 0.6),
mu_x = matrix(c(0, 1), 1, dimnames = list("A", NULL)),
sigma_x = list(matrix(1, dimnames = list("A", "A")),
matrix(2, dimnames = list("A", "A"))),
coeff = list(matrix(c(2, 1, 4, 1), 2,
dimnames = list(c("(Intercept)", "A"),
c("B", "C"))),
matrix(c(1.5, 1.5, 4.5, 0.5), 2,
dimnames = list(c("(Intercept)", "A"),
c("B", "C")))),
sigma_c = list(matrix(c(1, 1, 1, 2), 2,
dimnames = list(c("B", "C"),
c("B", "C"))),
matrix(c(0.5, 0.5, 0.5, 3.5), 2,
dimnames = list(c("B", "C"),
c("B", "C"))))))
})
test_that("conditionalize a gmm object with duplicated dependent variables", {
expect_equal(conditional(gmm_1, c("C", "C")),
list(alpha = c(0.4, 0.6),
mu_x = matrix(c(0, 2, 1, 3), 2,
dimnames = list(c("A", "B"), NULL)),
sigma_x = list(matrix(c(1, 1, 1, 2), 2,
dimnames = list(c("A", "B"),
c("A", "B"))),
matrix(c(2, 3, 3, 5), 2,
dimnames = list(c("A", "B"),
c("A", "B")))),
coeff = list(matrix(c(2, 0, 1),
dimnames = list(c("(Intercept)", "A",
"B"),
"C")),
matrix(c(3, - 1, 1),
dimnames = list(c("(Intercept)", "A",
"B"),
"C"))),
sigma_c = list(matrix(1, dimnames = list("C", "C")),
matrix(3, dimnames = list("C", "C")))))
})
test_that("conditionalize a gmm object with no explanatory variable", {
expect_equal(conditional(gmm_1, c("A", "B", "C")),
list(alpha = c(0.4, 0.6),
mu_x = matrix(numeric(), ncol = 2,
dimnames = list(character(), NULL)),
sigma_x = list(matrix(numeric(), 0, 0,
dimnames = list(character(),
character())),
matrix(numeric(), 0, 0,
dimnames = list(character(),
character()))),
coeff = list(matrix(c(0, 2, 4), 1,
dimnames = list("(Intercept)",
c("A", "B", "C"))),
matrix(c(1, 3, 5), 1,
dimnames = list("(Intercept)",
c("A", "B", "C")))),
sigma_c = list(matrix(c(1, 1, 1, 1, 2, 2, 1, 2, 3), 3,
dimnames = list(c("A", "B", "C"),
c("A", "B", "C"))),
matrix(c(2, 3, 1, 3, 5, 2, 1, 2, 4), 3,
dimnames = list(c("A", "B", "C"),
c("A", "B", "C"))))))
})
test_that("conditionalize a gmm object with non-positive definite covariance matrices", {
expect_equal(conditional(gmm_2, "B"),
list(alpha = 1, mu_x = matrix(0, dimnames = list("A", NULL)),
sigma_x = list(matrix(1, dimnames = list("A", "A"))),
coeff = list(matrix(c(0, 1),
dimnames = list(c("(Intercept)", "A"),
"B"))),
sigma_c = list(matrix(2.225074e-308,
dimnames = list("B", "B")))),
tolerance = 0.01)
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.