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clinDR (version 2.4.1)

coefEmax: Extract Emax model parameter estimates

Description

Extract Emax model parameter estimates. MLE for fitEmax. Matrix of MCMC generated parameters for fitEmaxB.

Usage

# S3 method for fitEmax
coef(object, ...)
	# S3 method for fitEmaxB
coef(object, local=FALSE, ...)
	# S3 method for emaxsim
coef(object, ...)
	# S3 method for emaxsimB
coef(object, local=FALSE, ...)

Value

Vector of MLE estimates of model parameter from fitEmax. Matrix of MCMC generated parameters for fitEmaxB. Matrix with posterior median parameter estimates for each emaxsimB simulation: (led50,lambda,emax,e0) or (led50,emax,e0). For emaxsim, a list is returned with the model type fit for each simulation, and a matrix with the corresponding model coefficients. The order of the parameters is given in the emaxsim documentation.

Arguments

object

Output of Emax fitting function

local

When a prior distribution of type 'emaxPrior' was used to create the object, specifying local=TRUE will output the local 'difTarget' parameter estimates.

...

No additional inputs supported

Author

Neal Thomas

See Also

sigma, fitEmax, fitEmaxB, emaxsim, emaxsimB

Examples

Run this code
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)
coef(testout)

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