R: Discrete-Time Multistate Models

# Discrete-Time Multistate Models

## Documentation for package ‘dtms’ version 0.4.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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_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