This helper function defines state-dependent distributions.
fHMM_sdds(sdds, states)# S3 method for fHMM_sdds
print(x, ...)
A list of length 1 (or 2 in the hierarchical case).
Each element again is a list, containing
the "name" of the distribution
and a list "pars" of its parameters, where unknown parameters are
set to NULL.
A character, specifying the state-dependent distribution. One of
"normal" (the normal distribution),
"lognormal" (the log-normal distribution),
"t" (the t-distribution),
"gamma" (the gamma distribution),
"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.
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.
Currently not used.