Visualize the fitted values of the training set and the forecast values of the testing set against the actual values of the series

test_forecast(actual, forecast.obj, train = NULL, test, Ygrid = FALSE,
Xgrid = FALSE, hover = TRUE)

## Arguments

actual The full time series object (supports "ts", "zoo" and "xts" formats) The forecast output of the training set with horizon align to the length of the testing (support forecasted objects from the “forecast” package) Training partition, a subset of the first n observation in the series (not requiredthed) The testing (hold-out) partition Logic,show the Y axis grid if set to TRUE Logic,show the X axis grid if set to TRUE If TRUE add tooltip with information about the model accuracy

## Examples

# NOT RUN {
library(forecast)
data(USgas)

# Set the horizon of the forecast
h <- 12

# split to training/testing partition
split_ts <- ts_split(USgas, sample.out  = h)
train <- split_ts$train test <- split_ts$test

# Create forecast object
fc <- forecast(auto.arima(train, lambda = BoxCox.lambda(train)), h = h)

# Plot the fitted and forecasted vs the actual values
test_forecast(actual = USgas, forecast.obj = fc, test = test)
# }