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Summary of a LaMaModel object

summary.LaMaModel.Rd

Summarises 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.

Usage

# S3 method for class 'LaMaModel'
summary(object, ...)

# S3 method for class 'summary.LaMaModel'
print(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

object

model object of class "LaMaModel"

...

additional arguments (not used)

x

object of class "summary.LaMaModel"

digits

number of significant digits to print

Value

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.