Modeling the impact of policy changes over time using Vector Autoregression (VAR). 5. Finding Comprehensive Resources (PDFs)
Downloading an is only the first step. To truly master the material, follow this applied learning protocol: applied time series analysis with r pdf
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| Chapter | Topic | R Package You’ll Use | |---------|----------------------------|----------------------| | 1 | Basic descriptive analysis | stats , ggplot2 | | 2 | Stationarity & autocorrelation | forecast , tseries | | 3 | ARMA/ARIMA models | forecast::auto.arima() | | 4 | Seasonal models (SARIMA) | seasonal | | 5 | Spectral analysis & periodicity | spectral | | 6 | GARCH for volatility | rugarch | | 7 | Multivariate time series (VAR) | vars |