Nothing
test_that("forecast_esn function works correctly", {
# Define arguments
n_ahead <- 18
n_sim <- 200
levels <- c(80, 95)
# Prepare data
n_obs <- length(AirPassengers)
n_train <- n_obs - n_ahead
ytrain <- AirPassengers[(1:n_train)]
ytest <- AirPassengers[((n_train+1):n_obs)]
# Train and forecast ESN model
esn_model <- train_esn(ytrain)
esn_fcst <- forecast_esn(
object = esn_model,
n_ahead = n_ahead,
n_sim = n_sim,
levels = levels
)
# Test if the function output is of class "forecast_esn"
expect_true(class(esn_fcst) == "forecast_esn")
expect_true(is.forecast_esn(esn_fcst))
# Test object lengths and dimensions
expect_equal(length(esn_fcst$point), n_ahead)
expect_equal(length(esn_fcst$std), n_ahead)
expect_equal(dim(esn_fcst$sim), c(n_ahead, n_sim))
expect_equal(dim(esn_fcst$interval), c(n_ahead, 2*length(esn_fcst$levels)))
})
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