sdds |
A character , specifying the state-dependent distribution. One of
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"normal" (the normal distribution),
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"lognormal" (the log-normal distribution),
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"t" (the t-distribution),
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"gamma" (the gamma distribution),
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"poisson" (the Poisson distribution).
The distribution parameters, i.e. the
mean mu ,
standard deviation sigma (not for the Poisson distribution),
degrees of freedom df (only for the t-distribution),
can be fixed via, e.g., "t(df = 1)" or
"gamma(mu = 0, sigma = 1)" .
To fix different values of a parameter for different states, separate by
"|", e.g. "poisson(mu = 1|2|3)" .
If hierarchy = TRUE , sdds must be a vector of length 2.
The first entry corresponds to the coarse-scale layer, while the second entry
corresponds to the fine-scale layer.
By default, sdds = "normal" if hierarchy = FALSE and
sdds = c("normal", "normal") if hierarchy = TRUE .
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states |
An integer , the number of states of the underlying Markov chain.
If hierarchy = TRUE , states must be a vector of length
2. The first entry corresponds to the coarse-scale layer, while the second
entry corresponds to the fine-scale layer.
By default, states = 2 if hierarchy = FALSE and
states = c(2, 2) if hierarchy = TRUE .
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