The `summary()`

method summarizes a `tparams_transprobs`

object containing
predicted transition probabilities; summary statistics are computed for each
possible transition by the relevant ID variables.

```
# S3 method for class 'tparams_transprobs'
summary(object, probs = NULL, unflatten = FALSE, ...)
```

- object
A

`tparams_transprobs`

object.- probs
A numeric vector of probabilities with values in

`[0,1]`

used to compute quantiles. Computing quantiles can be slow when`object`

is large, so the default is`NULL`

, meaning that no quantiles are computed.- unflatten
If

`FALSE`

, then each column containing a summary statistic is a vector and the generated table contains one row (for each set of ID variables) for each possible transition; if`TRUE`

, then each column stores a list of`matrix`

objects containing transition probability matrices formed by "unflattening" the one-dimensional vectors. See "Value" below for additional details.- ...
Additional arguments affecting the summary. Currently unused.

If `unflatten = "FALSE"`

(the default), then a `data.table::data.table`

is returned with columns for (i) the health state that is being transitioned
from (`from`

), (ii) the health state that is being transitioned to (`to`

)
(iii) the mean of each parameter across parameter samples (`mean`

),
(iv) the standard deviation of the parameter samples (`sd`

), and
(v) quantiles of the parameter samples corresponding to the `probs`

argument.

If, on the other hand, `unflatten = "TRUE"`

, then the parameters are unflattened
to form transition probability matrices; that is, the `mean`

, `sd`

, and
quantile columns are (lists of) matrices.

In both cases, the ID variables are also returned as columns.

See `tparams_transprobs`

for an example use of the summary method.