coefEmax {clinDR} | R Documentation |
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 class 'fitEmax'
coef(object, ...)
## S3 method for class 'fitEmaxB'
coef(object, local=FALSE, ...)
## S3 method for class 'emaxsim'
coef(object, ...)
## S3 method for class 'emaxsimB'
coef(object, local=FALSE, ...)
Arguments
object |
Output of Emax fitting function |
local |
When a prior distribution of type 'emaxPrior' was used to
create the object, specifying |
... |
No additional inputs supported |
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.
Author(s)
Neal Thomas
See Also
sigma
, 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)
coef(testout)