A joint fit is one model fitted to all tracks at once, not one
model per track. The returned ssm_df keeps a row per individual because
the estimated states really are per individual, but the objective,
convergence and AICc describe the whole fit. This method reports them once,
rather than repeating them against every animal as the ssm_df method
would, and separates the parameters shared by all individuals from those
that vary.
# S3 method for class 'jssm_df'
summary(object, ...)a list with components Fittab (the single fit), Stattab (one
row per individual), Shared (parameters common to all individuals) and
Partab (parameters that vary, one table per individual)