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.

## Methods

### Method `hazard()`

Predict the hazard functions for each health state transition.

#### Arguments

`t`

A 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.

#### Arguments

`t`

A 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

`deep`

Whether to make a deep clone.