context("evaluate model")
context(" estimate_var_model")
test_that("it should run the vars VAR function with the provided arguments ", {
cur.data <- data.frame(a = rnorm(10,0,1), b = runif(10,0,1), stringsAsFactors = TRUE)
cur.lag <- 10
called_count <<- 0
with_mock(
`vars::VAR` = function(data, p, ...) {
expect_equal(data, cur.data)
expect_equal(p, cur.lag)
called_count <<- called_count + 1
1
},
expect_equal(estimate_var_model(cur.data, cur.lag), 1)
)
expect_equal(called_count, 1)
})
test_that("it should run the vars VAR function without the dots if they are all NULL", {
cur.data <- data.frame(a = rnorm(10,0,1), b = runif(10,0,1), stringsAsFactors = TRUE)
cur.lag <- 10
called_count <<- 0
with_mock(
`vars::VAR` = function(data, p, ...) {
expect_equal(data, cur.data)
expect_equal(p, cur.lag)
called_count <<- called_count + 1
expect_equal(list(...), list())
1
},
expect_equal(estimate_var_model(cur.data, cur.lag, exogen = NULL, whatevermat = NULL), 1)
)
expect_equal(called_count, 1)
})
test_that("it should run the vars VAR function without the dots if they are not provided", {
cur.data <- data.frame(a = rnorm(10,0,1), b = runif(10,0,1), stringsAsFactors = TRUE)
cur.lag <- 10
called_count <<- 0
with_mock(
`vars::VAR` = function(data, p, ...) {
expect_equal(data, cur.data)
expect_equal(p, cur.lag)
called_count <<- called_count + 1
expect_equal(list(...), list())
1
},
expect_equal(estimate_var_model(cur.data, cur.lag), 1)
)
expect_equal(called_count, 1)
})
test_that("it should run the vars VAR function with the dots if they are not all NULL", {
cur.data <- data.frame(a = rnorm(10,0,1), b = runif(10,0,1), stringsAsFactors = TRUE)
cur.lag <- 10
called_count <<- 0
with_mock(
`vars::VAR` = function(data, p, ...) {
expect_equal(data, cur.data)
expect_equal(p, cur.lag)
called_count <<- called_count + 1
expect_equal(list(...), list(exogen = 1234, whatevermat = NULL))
1
},
expect_equal(estimate_var_model(cur.data, cur.lag, exogen = 1234, whatevermat = NULL), 1)
)
expect_equal(called_count, 1)
})
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