dtms                    Create dtms object
dtms_absorbed           Calculate the distribution of the time until
                        entering an absorbing state
dtms_aggregate          Aggregate data
dtms_backward           Carry states backward
dtms_boot               Bootstrap and block bootstrap
dtms_boot_summary       Summary function for bootstrap results
dtms_censoring          Left censoring, right censoring, and gaps in
                        data
dtms_clean              Cleans data in transition format
dtms_data_summary       Summarize data in transition format
dtms_delta              Calculate delta
dtms_distr_summary      Summary for distributional results
dtms_duration           Generate variable with duration
dtms_expectancy         Calculate state expectancy
dtms_first              Time needed to reach a subset of states for the
                        first time
dtms_fit                Estimate (un)constrained discrete-time
                        multistate model
dtms_format             Reshape data to transition format
dtms_forward            Carry states forward
dtms_fullfit            Estimate unconstrained discrete-time multistate
                        model
dtms_impute             Impute missing transition probabilities
dtms_last               Calculate the distribution of the time until a
                        subset of states is left for the last time.
dtms_matrix             Creates a transition matrix from transition
                        probabilities
dtms_nonparametric      Nonparametric estimates of transition
                        probabilities
dtms_occurrence         Generate variable with number of occurrence of
                        state
dtms_plot               Plotting transition probabilities
dtms_probs_summary      Summarize transition probabilities
dtms_reward             Markov chain with rewards
dtms_rewardmatrix       Generate the reward matrix for a Markov chain
                        with rewards
dtms_risk               Calculate the lifetime risk of ever reaching a
                        state
dtms_simplify           Simplify state names
dtms_simulate           Simulation of Markov chains
dtms_source             Source code only from specific lines
dtms_start              Tabulate starting distribution
dtms_survivor           Calculate the survivorship function
dtms_transitions        Predict transition probabilities
dtms_visits             Calculate the distribution of the time spent in
                        a subset of states
simpledata              simpledata: an artificial data set with
                        abstract trajectories
workdata                workdata: simulated working trajectories
