Perform likelihood profiling on nlmixr2 focei fits
Perform likelihood profiling on nlmixr2 focei fits
## S3 method for class 'nlmixr2FitCore'profile( fitted,..., which =NULL, method = c("llp","fixed"), control = list())
Arguments
fitted: The fit model
...: ignored
which: The parameter names to perform likelihood profiling on (NULL indicates all parameters)
method: Method to use for profiling (see the details)
control: Control arguments for the method
Returns
A data.frame with one column named Parameter indicating the parameter being fixed on that row, one column for the OFV indicating the OFV estimated for the model at that step, one column named profileBound
indicating the estimated value for the profile likelihood and its step above the minimum profile likelihood value, and columns for each parameter estimate (or fixed) in the model.
Log-likelihood profiling
method = "llp"
The search will stop when either the OFV is within ofvtol of the desired OFV change or when the parameter is interpolating to more significant digits than specified in paramDigits. The "llp" method uses the profileLlp()
function. See its help for more details.
Fixed points
method = "fixed"
Estimate the OFV for specific fixed values. The "fixed" method uses the profileFixed() function. See its help for more details.
Examples
## Not run:# Likelihood profiling takes a long time to run each model multiple times, so# be aware that running this example may take a few minutes.oneCmt <-function(){ ini({ tka <- log(1.57) tcl <- log(2.72) tv <- fixed(log(31.5)) eta.ka ~0.6 add.sd <-0.7}) model({ ka <- exp(tka + eta.ka) cl <- exp(tcl) v <- exp(tv) cp <- linCmt() cp ~ add(add.sd)})}fit <- nlmixr2( oneCmt, data = nlmixr2data::theo_sd, est="focei", control = list(print=0))# profile all parametersprofall <- profile(fit)# profile a single parameterproftka <- profile(fit, which ="tka")## End(Not run)
See Also
Other Profiling: fixedControl(), llpControl(), profileFixed(), profileLlp(), profileNlmixr2FitCoreRet()