Fitted values (occupancy and detection probabilities)
Usage
# S3 method for class 'tobs_fit'
fitted(object, ...)Value
A list with psi (occupancy probabilities), p (detection
probabilities), and z (posterior state probability at posterior-mean
parameters). For an int_occu() fit p is a named list, one detection
probability vector per source (matching y's names), since each source
carries its own detection design and, when present, its own detection-arm
spatial field. For single-season, int_occu() and community models z
is the per-site Bayes posterior P(z=1 | y) (an int_occu() site is
occupied with certainty if ANY source detected it, and otherwise
pools every source's non-detection evidence); for dynamic models z is
the forward-backward (HMM smoothing) state posterior P(z_t=1 | y_{1:T})
as an [n_sites x n_seasons] matrix.