1. Describe better the distributions of obs to time series; i.e., describe
clearly the time series and obs with math'l notation briefly.
2. Use Conditional G-causality and/or partial G-causality, you can exceed
"the limit of max. number of variables = 11" in a VAR structure.
3. You can use R's FI
Have you searched?!
"Granger causality" at rseek.org brought up what appeared to be many
relevant hits.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
Hi Everyone,
We have a question about whether one can to do a particular type of Granger
Causality (GC) network validation in R. We hope you'll agree it's an
interesting problem and that someone's figured out how to solve it.
We have a cellular network with n nodes (proteins). We have two diff
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