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# A unit test for boxcox transformations
if (require(testthat)) {
test_that("tests for biasadj automatically set based on model fit", {
# lm
fit <- tslm(USAccDeaths ~ trend, lambda = 0.5, biasadj = TRUE)
expect_true(all.equal(forecast(fit), forecast(fit, biasadj = TRUE)))
# HoltWintersZZ
fit <- ses(USAccDeaths, initial = "simple", lambda = 0.5, biasadj = TRUE)
expect_true(all.equal(forecast(fit), forecast(fit, biasadj = TRUE)))
# arfima
x <- fracdiff::fracdiff.sim(100, ma = -.4, d = .3)$series
fit <- arfima(x)
expect_true(all.equal(forecast(fit), forecast(fit, biasadj=TRUE)))
#arima
fit1 <- Arima(USAccDeaths, order = c(0,1,1), seasonal = c(0,1,1), lambda = 0.5, biasadj = TRUE)
fit2 <- auto.arima(USAccDeaths, max.p=0, max.d=1, max.q=1, max.P=0, max.D=1, max.Q=1, lambda = 0.5, biasadj = TRUE)
expect_true(all.equal(forecast(fit1), forecast(fit1, biasadj=TRUE)))
expect_true(all.equal(forecast(fit2), forecast(fit2, biasadj=TRUE)))
expect_true(all.equal(forecast(fit1)$mean, forecast(fit2)$mean))
# ets
fit <- ets(USAccDeaths, model = "ANA", lambda = 0.5, biasadj = TRUE)
expect_true(all.equal(forecast(fit), forecast(fit, biasadj = TRUE)))
# bats
# fit <- bats(USAccDeaths, use.box.cox = TRUE, biasadj = TRUE)
# expect_true(all.equal(forecast(fit), forecast(fit, biasadj=TRUE)))
# tbats
# fit <- tbats(USAccDeaths, use.box.cox = TRUE, biasadj = TRUE)
# expect_true(all.equal(forecast(fit), forecast(fit, biasadj=TRUE)))
})
test_that("tests for automatic lambda selection in BoxCox transformation", {
lambda_auto <- BoxCox.lambda(USAccDeaths)
# lm
fit <- tslm(USAccDeaths ~ trend, lambda = "auto", biasadj = TRUE)
expect_equal(as.numeric(fit$lambda), lambda_auto, tolerance=1e-3)
# ets
fit <- ets(USAccDeaths, model = "ANA", lambda = "auto", biasadj = TRUE)
expect_equal(as.numeric(fit$lambda), lambda_auto, tolerance=1e-3)
# arima
fit <- Arima(USAccDeaths, order = c(0,1,1), seasonal = c(0,1,1), lambda = "auto", biasadj = TRUE)
expect_equal(as.numeric(fit$lambda), lambda_auto, tolerance=1e-3)
})
}
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