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 tparams_transprobs
summary(object, probs = NULL, unflatten = FALSE, ...)
A tparams_transprobs
object.
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.
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
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.