Description Usage Arguments Functions Examples
Compute the gain value with a given dose level, given a pseudo DLE model, a DLE sample, a pseudo Efficacy log-log model and a Efficacy sample
1 2 3 4 5 6 7 8 9 10 | gain(dose, DLEmodel, DLEsamples, Effmodel, Effsamples, ...)
## S4 method for signature 'numeric,ModelTox,Samples,Effloglog,Samples'
gain(dose, DLEmodel, DLEsamples, Effmodel, Effsamples, ...)
## S4 method for signature 'numeric,ModelTox,Samples,EffFlexi,Samples'
gain(dose, DLEmodel, DLEsamples, Effmodel, Effsamples, ...)
## S4 method for signature 'numeric,ModelTox,missing,Effloglog,missing'
gain(dose, DLEmodel, DLEsamples, Effmodel, Effsamples, ...)
|
dose |
the dose |
DLEmodel |
the |
DLEsamples |
the |
Effmodel |
the |
Effsamples |
the |
... |
unused |
gain,numeric,ModelTox,Samples,EffFlexi,Samples-method
: Compute the gain given a dose level, a pseduo DLE model, a DLE sample,
the pseudo EffFlexi model and an Efficacy sample
gain,numeric,ModelTox,missing,Effloglog,missing-method
: Compute the gain value given a dose level, a pseudo DLE model and a pseudo
efficacy model of Effloglog
class object without DLE and the efficacy sample
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | ##Obtain the gain value for a given dose, a pseudo DLE model, a DLE sample,
## a pseudo efficacy model and an efficacy sample
##The DLE model must be from 'ModelTox' class (DLEmodel slot)
emptydata<- DataDual(doseGrid=seq(25,300,25),placebo=FALSE)
data<-emptydata
DLEmodel<-LogisticIndepBeta(binDLE=c(1.05,1.8),DLEweights=c(3,3),DLEdose=c(25,300),data=data)
DLEsamples <- mcmc(data, DLEmodel, McmcOptions(burnin=100,step=2,samples=200))
##The efficacy model must be from 'ModelEff' class (Effmodel slot)
## The DLE and efficacy samples must be from 'Samples' class (DLEsamples and Effsamples slot)
Effmodel<-Effloglog(Eff=c(1.223,2.513),Effdose=c(25,300),nu=c(a=1,b=0.025),data=data,c=0)
Effsamples <- mcmc(data, Effmodel, McmcOptions(burnin=100,step=2,samples=200))
## Given a dose level 75,
gain(dose=75,DLEmodel=DLEmodel,DLEsamples=DLEsamples,Effmodel=Effmodel,Effsamples=Effsamples)
##Obtain the gain value for a given dose, a pseudo DLE model, a DLE sample,
## the 'EffFlexi' efficacy model and an efficacy sample
##The DLE model must be from 'ModelTox' class (DLEmodel slot)
emptydata<- DataDual(doseGrid=seq(25,300,25))
data<-emptydata
DLEmodel<-LogisticIndepBeta(binDLE=c(1.05,1.8),DLEweights=c(3,3),DLEdose=c(25,300),data=data)
DLEsamples <- mcmc(data, DLEmodel, McmcOptions(burnin=100,step=2,samples=200))
##The efficacy model must be from 'EffFlexi' class (Effmodel slot)
## The DLE and efficacy samples must be from 'Samples' class (DLEsamples and Effsamples slot)
EffFleximodel <- EffFlexi(Eff=c(1.223, 2.513),Effdose=c(25,300),
sigma2=c(a=0.1,b=0.1),sigma2betaW=c(a=20,b=50),smooth="RW2",data=data)
Effsamples <- mcmc(data, EffFleximodel, McmcOptions(burnin=100,step=2,samples=200))
## Given a dose level 75,
gain(dose=75,DLEmodel=DLEmodel,DLEsamples=DLEsamples,Effmodel=EffFleximodel,Effsamples=Effsamples)
##Obtain the gain value for a given dose, a pseudo DLE model and a pseudo efficacy model
## without samples
##The DLE model must be from 'ModelTox' class (DLEmodel slot)
emptydata<- DataDual(doseGrid=seq(25,300,25),placebo=FALSE)
data<-Data(doseGrid=seq(25,300,25),placebo=FALSE)
DLEmodel<-LogisticIndepBeta(binDLE=c(1.05,1.8),DLEweights=c(3,3),DLEdose=c(25,300),data=data)
##The efficacy model must be from 'Effloglog' class (Effmodel slot)
Effmodel<-Effloglog(Eff=c(1.223,2.513),Effdose=c(25,300),nu=c(a=1,b=0.025),data=emptydata,c=0)
## Given a dose level 75,
gain(dose=75,DLEmodel=DLEmodel,Effmodel=Effmodel)
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