plot_forecast_compare: Compare Forecasts from Two Models

In STCCGEV: Conditional Copula Model for Crop Yield Forecasting

Compare Forecasts from Two Models

Description

Generates a time series plot comparing the forecasts from two models along with observed data.

Usage

plot_forecast_compare(
  forecast1,
  forecast2,
  data_train,
  data_test,
  time,
  quant_high,
  quant_low,
  col1,
  title
)

Arguments

forecast1	Numeric matrix, forecasted values from the first model (columns: time points).
forecast2	Numeric matrix, forecasted values from the second model (columns: time points).
data_train	Numeric vector, training data used for modeling.
data_test	Numeric vector, actual test data for evaluation.
time	Numeric vector, representing the time points corresponding to the data.
quant_high	Numeric, upper quantile (e.g., 0.9) for confidence interval.
quant_low	Numeric, lower quantile (e.g., 0.1) for confidence interval.
col1	Character, color for observed data lines.
title	Character, title for the plot.

Value

A ggplot2 object showing the forecast comparison.

STCCGEV documentation built on April 4, 2025, 1:50 a.m.