Hello, The "arma" function in the "tseries" package allows estimation of models with specific "ar" and "ma" lags with its "lag" argument. For example: y[t] = a[0] + a[1]y[t-3] +b[1]e[t-2] + e[t] can be estimated with the following specification : arma(y, lag=list(ar=3,ma=2)). Is this possible with the "arima" function in the "stats" or in other time series packages like fArima, forecast, or FinTS? They all take a "lag" argument. I would like to have the ability to estimate models like the one above while utilizing the "xreg" argument available in the other arima functions . Thanks, Richard Saba sabaric at auburn.edu
tseries(arma) vs. stats(arima)
2 messages · Richard Saba, Brian Ripley
arima() certainly does. You missed the 'fixed' argument that allows ARMA coefficients to be set to any value, including 0. Note that arma() does not do ML estimation. For that you have to worry about invertibility, and it can be much harder to do the optimization with constrained parameters.
On Fri, 21 Mar 2008, Richard Saba wrote:
Hello, The "arma" function in the "tseries" package allows estimation of models with specific "ar" and "ma" lags with its "lag" argument. For example: y[t] = a[0] + a[1]y[t-3] +b[1]e[t-2] + e[t] can be estimated with the following specification : arma(y, lag=list(ar=3,ma=2)). Is this possible with the "arima" function in the "stats" or in other time series packages like fArima, forecast, or FinTS? They all take a "lag" argument. I would like to have the ability to estimate models like the one above while utilizing the "xreg" argument available in the other arima functions . Thanks, Richard Saba sabaric at auburn.edu
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