| CtstmTrans {hesim} | R Documentation |
An R6 base class for continuous time state transition models
Description
Contains methods that can be used to summarize both individual- and cohort-level continuous time state transition models. That is, this class is relevant for both Markov and semi-Markov multi-state models and does not depend on the methodology used for prediction of state probabilities.
Format
An R6::R6Class object.
Methods
Public methods
Method hazard()
Predict the hazard functions for each health state transition.
Usage
CtstmTrans$hazard(t)
Arguments
tA numeric vector of times.
Returns
A data.table with columns transition_id,
sample, strategy_id, grp_id, t, and hazard.
Method cumhazard()
Predict the cumulative hazard functions for each health state transition.
Usage
CtstmTrans$cumhazard(t)
Arguments
tA numeric vector of times.
Returns
A data.table with columns transition_id,
sample, strategy_id, grp_id, t, and cumhazard.
Method clone()
The objects of this class are cloneable with this method.
Usage
CtstmTrans$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
See Also
create_IndivCtstmTrans(), IndivCtstmTrans