estimateParams {simIDM} | R Documentation |
Estimate Parameters of the Multistate Model Using Clinical Trial Data
Description
Estimate Parameters of the Multistate Model Using Clinical Trial Data
Usage
estimateParams(data, transition)
Arguments
data |
( |
transition |
( |
Details
This function estimates parameters for transition models using clinical trial data.
The transition
object can be initialized with starting values for parameter estimation.
It uses stats::optim()
to optimize the parameters.
Value
Returns a TransitionParameters
object with the estimated parameters.
Examples
transition <- exponential_transition(h01 = 2, h02 = 1.4, h12 = 1.6)
simData <- getOneClinicalTrial(
nPat = c(30), transitionByArm = list(transition),
dropout = list(rate = 0.3, time = 12),
accrual = list(param = "time", value = 1)
)
# Initialize transition with desired starting values for optimization:
transition <- exponential_transition(h01 = 1.2, h02 = 1.5, h12 = 1.6)
estimate <- estimateParams(simData, transition)
[Package simIDM version 0.1.0 Index]