pfinal_fmsm  R Documentation 
This requires the model to be Markov, and is not valid for semiMarkov
models, as it works by wrapping pmatrix.fs
to calculate the
transition probability over a very large time. As it also works on a
fmsm
object formed from transitionspecific timetoevent models,
it therefore only works on competing risks models, defined by just one starting
state with multiple destination states representing competing events.
For these models, this function returns the probability governing which
competing event happens next. However this function simply wraps pmatrix.fs
,
so for other models, pmatrix.fs
or pmatrix.simfs
can be used with a
large forecast time t
.
pfinal_fmsm(x, newdata = NULL, fromstate, maxt = 1e+05, B = 0, cores = NULL)
x 
Object returned by 
newdata 
Data frame of covariate values, with one column per covariate, and one row per alternative value. 
fromstate 
State from which to calculate the transition probability
state. This should refer to the name of a row of the transition matrix

maxt 
Large time to use for forecasting final state probabilities.
The transition probability from zero to this time is used. Note

B 
Number of simulations to use to calculate 95% confidence intervals
based on the asymptotic normal distribution of the basic parameter
estimates. If 
cores 
Number of processor cores to use. If 
A data frame with one row per covariate value and destination state,
giving the state in column state
, and probability in column
val
. Additional columns lower
and upper
for the
confidence limits are returned if B=0
.
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