What are the best time series prediction models in r?

Question

Can you tell me the best time series prediction models in r?

Answer 1

No model is better than other but used according to the data. I have listed the best and most used time series prediction models in R:

• Autoregression (AR)
• Moving Average (MA)
• Autoregressive Moving Average (ARMA)
• Autoregressive Integrated Moving Average (ARIMA)
• Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX)
• Seasonal Autoregressive Integrated Moving-Average (SARIMA)
• Simple Exponential Smoothing (SES)
• Holt Winter’s Exponential Smoothing (HWES)

If you want to learn these models and implement them, I recommend these data science online courses by Intellipaat with a hands-on exercise in Time series.

You can watch this video on time series analysis in R to have an overview of time series prediction models