LaMaModel objectSummarises a model from lama or qreml.
Besides the overview of print(), this contains
for a homogeneous state process (or one per track) with at most 10 states: the transition probability matrix
(or generator matrix Q in continuous time, if reported, e.g. by tpm_ct), its stationary distribution and mean dwell times,
averaged over tracks if there is one per track,
for a periodic state process: the stationary distribution averaged over the cycle, i.e. the long-run proportion of time spent in each state,
the quantities reported by the likelihood function via REPORT(): numeric vectors of length equal to the number of states
are shown as one table with a column per state, other small objects separately, and large ones only by name,
log-likelihood, AIC, BIC and the maximum gradient component at the estimate.
# S3 method for LaMaModel
summary(object, ...)# S3 method for summary.LaMaModel
print(x, digits = max(3, getOption("digits") - 3), ...)
summary() returns an object of class "summary.LaMaModel", a list containing the quantities shown,
e.g. Gamma, stationary, dwell and bystate. print() returns x invisibly.
model object of class "LaMaModel"
additional arguments (not used)
object of class "summary.LaMaModel"
number of significant digits to print