getQLmodel {qle} | R Documentation |
Initial setup of the quasi-likelihood approximation model
getQLmodel(runs, lb, ub, obs, X = NULL, useVar = TRUE, criterion = "qle", ...)
runs |
object of class |
lb |
lower bounds defining the (hyper)box of the parameter domain for QL estimation |
ub |
upper bounds defining the (hyper)box of the parameter domain for QL estimation |
obs |
numeric vector of observed statistics |
X |
matrix of sample locations (model parameters) |
useVar |
logical, |
criterion |
name of criterion function to be minimized for QL estimation (see |
... |
arguments passed to |
The function is a wrapper of simQLdata
, QLmodel
, fitSIRFk
and thus sets up the quasi-likelihood approximation model all at once.
Object of class QLmodel
M. Baaske
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")