Description Usage Arguments Details Value Author(s) See Also Examples
Setup the quasi-likelihood model data
1 2 | getQLmodel(runs, lb, ub, obs, X = NULL, useVar = TRUE, criterion = "qle",
...)
|
runs |
object of class |
lb |
lower bounds defining the (hyper)box |
ub |
upper bounds defining the (hyper)box |
obs |
numeric vector of observed statistics |
X |
matrix of sample locations (model parameters) |
useVar |
logical, |
criterion |
the criterion function to be minimized for parameter estimation (see |
... |
arguments passed to |
The function is a wrapper to setQLdata
and fitSIRFk
in order to setup the data required for estimating the model parameters.
Object of class QLmodel
M. Baaske
1 2 3 4 5 6 7 8 9 10 11 | data(normal)
# simulate model at a minimum of required design points
sim <- simQLdata(sim=qsd$simfn,nsim=5,N=8,
method="maximinLHS",lb=qsd$lower,ub=qsd$upper)
# true and error-free observation
obs <- structure(c("T1"=2,"T2"=1), class="simQL")
# construct QL approximation model
qsd <- getQLmodel(sim,qsd$lower,qsd$upper,obs,var.type="wcholMean")
|
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