control |
control object:
lambda - If
TRUE an autoregressive
parameter λ is included, if lambda is a vector of logicals,
unit-specific parameters λ_i are included. By default, observations y_t-lag
at the previous time points, i.e. lag=1, are used for the autoregression. Other lags can be
used by specifying lambda as a vector of integers, see Examples and meanResponse for details.
neighbours - If
TRUE an autoregressive parameter for
adjacent units phi is included, if neighbours is a vector of logicals,
unit-specific parameters phi_i are included. By default, observations y_t-lag
at the previous time points, i.e. lag=1, are used for the autoregression. Other lags can be
used by specifying neighbours as a vector of integers.
linear - a
logical (or a vector of logicals) indicating wether a linear
trend β (or a linear trend β_i for each unit)
is included
nseason - Integer number of Fourier frequencies; if
nseason is a vector
of integers, each unit i gets its own seasonal parameters
negbin - if
"single" negative binomial rather than poisson is used,
if "multiple" unit-specific overdispersion parameters are used.
proportion - see details in
meanResponse
lag.range - determines which observations are used to fit the model
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