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Consider the grangertest() in the lmtest library.

It is a test to see if one time series is useful in forecasting another.

A couple references to get you started:

http://monogan.myweb.uga.edu/teaching/ts/index.html

http://monogan.myweb.uga.edu/teaching/ts/Kgranger.pdf

http://en.wikipedia.org/wiki/Granger_causality

Consider the grangertest() in the lmtest library.

It is a test to see if one time series is useful in forecasting another.

A couple references to get you started:

https://spia.uga.edu/faculty_pages/monogan/teaching/ts/

https://spia.uga.edu/faculty_pages/monogan/teaching/ts/Kgranger.pdf

http://en.wikipedia.org/wiki/Granger_causality

Consider the grangertest() in the lmtest library.

It is a test to see if one time series is useful in forecasting another.

A couple references to get you started:

http://monogan.myweb.uga.edu/teaching/ts/index.html

http://monogan.myweb.uga.edu/teaching/ts/Kgranger.pdf

http://en.wikipedia.org/wiki/Granger_causality

Consider the grangertest() in the lmtest library.

It is a test to see if one time series is useful in forecasting another.

A couple references to get you started:

http://monogan.myweb.uga.edu/teaching/ts/index.html

http://monogan.myweb.uga.edu/teaching/ts/Kgranger.pdf

http://en.wikipedia.org/wiki/Granger_causality

Consider the grangertest() in the lmtest library.

It is a test to see if one time series is useful in forecasting another.

A couple references to get you started:

http://monogan.myweb.uga.edu/teaching/ts/13granger.pdf

http://en.wikipedia.org/wiki/Granger_causality

Consider the grangertest() in the lmtest library.

It is a test to see if one time series is useful in forecasting another.

A couple references to get you started:

http://monogan.myweb.uga.edu/teaching/ts/index.html

http://monogan.myweb.uga.edu/teaching/ts/Kgranger.pdf

http://en.wikipedia.org/wiki/Granger_causality