Next best dose with maximum gain value based on a pseudo DLE and efficacy model without samples
This is a class for which to find the next dose which is safe and give the maximum gain value for allocation. This is a class where no DLE and efficacy samples are involved. This is only based on the probabilities of the occurrence of a DLE and the values of the mean efficacy responses obtained by using the modal estimates of the DLE and efficacy model parameters. There are two inputs which are the two target probabilities of the occurrence of a DLE used during trial and used at the end of trial, for finding the next best dose that is safe and gives the maximum gain value and the dose to recommend at the end of a trial. This is only suitable to use with DLE models specified in 'ModelTox' class and efficacy models specified in 'ModelEff' (except 'EffFlexi' model) class
DLEDuringTrialtargetthe target probability of the occurrrence of a DLE to be used during the trial
DLEEndOfTrialtargetthe target probability of the occurrence of a DLE to be used at the end of the trial. This target is particularly used to recommend the dose for which its posterior probability of the occurrence of a DLE is equal to this target
##define the NextBestMaxGain class (no samples and based a pseudo DLE model and a efficacy model)
##specified the target probability of the occurrence of a DLE during the trial be 0.35
##specified the target probability of the occurrence of a DLE at the end of trial be 0.3
myNextBest <-NextBestMaxGain(DLEDuringTrialtarget=0.35,
DLEEndOfTrialtarget=0.3)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.