library(lgpr)
source("helpers/SW.R")
# -------------------------------------------------------------------------
context("Creating GaussianPrediction objects")
N_ITER <- 35
N_CHAINS <- 2
SW({
fit <- example_fit(iter = N_ITER, chains = N_CHAINS)
})
test_that("pred works with defaults", {
a <- pred(fit = fit, verbose = FALSE)
expect_s4_class(a, "GaussianPrediction")
expect_output(show(a))
})
test_that("pred works with reduce = NULL", {
a <- pred(fit = fit, reduce = NULL, verbose = FALSE)
expect_s4_class(a, "GaussianPrediction")
expect_output(show(a))
})
test_that("pred works with defaults and given x", {
x_pred <- new_x(fit, x_values = seq(0, 100, by = 2.5))
a <- pred(fit = fit, x = x_pred, verbose = FALSE)
expect_s4_class(a, "GaussianPrediction")
expect_output(show(a))
})
test_that("pred works with defaults and given x, and reduce = NULL", {
x_pred <- new_x(fit, x_values = seq(0, 100, by = 2.5))
a <- pred(
fit = fit, x = x_pred, reduce = NULL, draws = c(2, 5),
verbose = FALSE
)
expect_s4_class(a, "GaussianPrediction")
expect_output(show(a))
# Check that default is verbose (should print also progbars)
expect_output({
pp <- pred(fit = fit, x = x_pred, reduce = NULL)
})
})
test_that("cant accidentally start very large computations", {
x_pred <- new_x(fit, x_values = seq(0, 100, by = 0.05))
expect_error(
pred(fit = fit, x = x_pred, verbose = FALSE, reduce = NULL),
"set force = TRUE if you are sure you want to do this"
)
})
# -------------------------------------------------------------------------
context("Creating Prediction objects")
SW({
fit <- example_fit(iter = N_ITER, chains = N_CHAINS, likelihood = "nb")
})
test_that("pred works with defaults", {
a <- pred(fit = fit, verbose = FALSE)
expect_s4_class(a, "Prediction")
expect_output(show(a))
})
test_that("pred works with reduce = NULL", {
a <- pred(fit = fit, reduce = NULL, verbose = FALSE)
expect_s4_class(a, "Prediction")
expect_output(show(a))
})
test_that("pred works with defaults and given x (extrapolation)", {
x_pred <- new_x(fit, x_values = seq(0, 100, by = 2.5))
a <- pred(fit = fit, x = x_pred, verbose = FALSE)
expect_s4_class(a, "Prediction")
expect_output(show(a))
})
test_that("pred works with defaults and given x, and reduce = NULL", {
x_pred <- new_x(fit, x_values = seq(0, 100, by = 2.5))
a <- pred(
fit = fit, x = x_pred, reduce = NULL, draws = c(2, 5),
verbose = FALSE
)
expect_s4_class(a, "Prediction")
expect_output(show(a))
# Check that default is verbose (should print also progbars)
# should also print "c_hat_pred not given, using constant c_hat_pred ="
expect_output({
pred(fit = fit, x = x_pred, reduce = NULL)
})
})
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