Nothing
context("Testing set_parameters")
testthat::skip_on_cran()
testthat::test_that(
desc = "Main arguments",
code = {
model <- make_model('X -> Y')
expect_error(make_parameters(model, param_type = 'posterior_draw'))
expect_error(make_parameters(model, param_type = 'posterior_mean'))
model <- update_model(model, data.frame(X=1, Y=1), refresh = 0)
a <- make_parameters(model, parameters = c(.25, .75, 1.25,.25, .25, .25))
expect_true(length(a)==6)
a <-make_parameters(model)
expect_true(length(a)==6)
a <-make_parameters(model, param_type = 'flat')
expect_true(length(a)==6)
a <- make_parameters(model, param_type = 'prior_draw')
expect_true(length(a)==6)
a <- make_parameters(model, param_type = 'prior_mean')
expect_true(length(a)==6)
a <- make_parameters(model, param_type = 'posterior_draw')
expect_true(length(a)==6)
a <- make_parameters(model, param_type = 'posterior_mean')
expect_true(length(a)==6)
# a <- make_parameters(model, statement = "Y[X=1] > Y[X=0]", parameters = .5)
# expect_true(a[5]==.5)
# a <- make_parameters(model, statement = "Y[X=1] > Y[X=0]", parameters = .5, normalize = FALSE)
# expect_true(a[5]==.4)
a <- get_parameters(model, param_type = 'posterior_mean')
expect_true(length(a)==6)
a <- get_parameters(model)
expect_true(length(a)==6)
model <- make_model("X -> Y")
a <- make_parameters(model = model, parameters = c(0.5,0.25), alter_at = "node == 'X' & nodal_type %in% c('0','1')", normalize = TRUE)
expect_equal(unname(round(a,2)), c(0.67,0.33,0.25,0.25,0.25,0.25))
a <- make_parameters(model = model, parameters = c(0.5,0.25), node = "X", nodal_type = c("0","1"))
expect_equal(unname(round(a,2)), c(0.67,0.33,0.25,0.25,0.25,0.25))
a <- make_parameters(model = model, parameters = 0.9, param_names = "X.0")
expect_equal(unname(a), c(0.9,0.1,0.25,0.25,0.25,0.25))
expect_error(make_parameters(model, param_type = 'flatbread'))
expect_true(class(set_parameters(model)) == "causal_model")
a <- make_model('X -> Y') |>
set_confound("X <-> Y")
a <- suppressWarnings(set_parameters(a,statement = 'Y[X=1]>Y[X=0]', param_set = c("Y.X.0","Y.X.1"), parameters = c(.2, .8)))
a <- get_parameters(a)
expect_equal(sum(0.2 == a), 1)
}
)
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