sigmaEmax {clinDR}R Documentation

Extract Emax model residual SD estimates

Description

Extract Emax model residual SD estimates.

Usage

	## S3 method for class 'fitEmax'
sigma(object, ...)
	## S3 method for class 'fitEmaxB'
sigma(object, ...)
	## S3 method for class 'emaxsim'
sigma(object, ...)
	## S3 method for class 'emaxsimB'
sigma(object, ...)

Arguments

object

Output of Emax fitting and simulation functions

...

None additional inputs supported

Value

MLE estimate of the residual SD from fitEmax. Vector of MLE estimates of the residual SD for each emaxsim simulation. Vector of MCMC generated residual SD for fitEmaxB. Vector of posterior median estimates of the residual SD for each emaxsimB simulation.

Author(s)

Neal Thomas

See Also

coef, fitEmax, fitEmaxB, emaxsim, emaxsimB

Examples

doselev<-c(0,5,25,50,100,350)
n<-c(78,81,81,81,77,80)

### population parameters for simulation
e0<-2.465375 
ed50<-67.481113 

dtarget<-100
diftarget<-9.032497
emax<-solveEmax(diftarget,dtarget,log(ed50),1,e0)

sdy<-8.0
pop<-c(log(ed50),emax,e0)    
dose<-rep(doselev,n)
meanlev<-emaxfun(dose,pop)  

y<-rnorm(sum(n),meanlev,sdy)

testout<-fitEmax(y,dose,modType=4)
sigma(testout)

[Package clinDR version 2.3.5 Index]