Description Usage Arguments Details Value Author(s) Examples
Sets up the necessary backend for the SARIMA process.
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ar |
A |
i |
An |
ma |
A |
sar |
A |
si |
An |
sma |
A |
s |
An |
sigma2 |
A |
A variance is required since the model generation statements utilize randomization functions expecting a variance instead of a standard deviation unlike R.
An S3 object with called ts.model with the following structure:
AR x p, MA x q, SAR x P, SMA x Q
sigma
Number of Parameters
y desc replicated x times
Depth of Parameters e.g. list(c(length(ar), length(ma), length(sar), length(sma), 1, i, si) )
Guess Starting values? TRUE or FALSE (e.g. specified value)
JJB
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