Description Usage Arguments Details Value Author(s) See Also Examples
View source: R/probtrans_ebmstate.R
Compute subject-specific transition probabilities using convolution.
1 2 3 4 5 6 7 | probtrans_ebmstate(
initial_state,
cumhaz,
model,
max_time = NULL,
nr_steps = 10000
)
|
initial_state |
The present function estimates transition probabilities from the state given in this argument. |
cumhaz |
An |
model |
Either 'clockforward' or 'clockreset'. See details. |
max_time |
The maximum time for which transition probabilities are estimated. |
nr_steps |
The number of steps in the convolution algorithm (larger increases precision but makes it slower) |
The clock-forward model is a model in which the transition hazard rates depend only on time since the initiating event. The clock-reset model has a single time scale: the sojourn time in the current state.
The algorithm behind probtrans_ebmstate
is based
on the convolution of density and survival functions and
is suitable for processes with a tree-like transition
structure only.
An object of class 'probtrans'. See the 'value'
section in the help page of mstate::probtrans
.
Rui Costa & Moritz Gerstung
1 2 3 4 5 6 7 8 9 10 11 | # Compute transition probabilities
# from an object with (pre-estimated)
# cumulative hazard rates.
#load object with estimated
#cumulative hazard rates
data("msfit_object_sample")
#compute transition probabilities
probtrans_object<-probtrans_ebmstate("health",
msfit_object_sample,"Markov")
|
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