seconds	The time in seconds that was required to reach convergence.
convergence	Indicates whether the model estimation converged prior to reaching the maximum number of iterations. A convergence of 1 indicates that the model converged. Note that it is not possible to obtain the number of iterations because this information is not returned by the optim() function.
LL	The value of the loglikelihood (for details, see Supplementary Material S.5.1).
BIC	The value of the BIC (for details, see Supplementary Material S.6.9).
WaldTests	The Wald test output.
estimates	The parameter estimates of the transition model.
classification_posteriors	The posterior state-membership probabilities and the modal state assignments.
state_proportions	The state proportions.
n_initialCovariates	The number of covariates for the initial state probabilities.
n_transitionCovariates	The number of covariates for the transition intensities.
n_initial_covariates	The number of covariates specified for the initial state parameters.
transition_covariate_means	The number of covariates specified for the transition parameters.
n_obs	The total number of observations across all subjects and time-points.
n_par	The total number of free parameters (for details, see Supplementary Material S.6.8).
n_state	The number of states.
data	The data with the posterior state-membership probabilities and the modal state assignments attached.