Extract Emax model variance-covariance matrix for ML estimates
Extract Emax model variance-covariance matrix for ML estimates
## S3 method for class 'fitEmax' vcov(object, ...) ## S3 method for class 'emaxsim' vcov(object, ...)
object |
Output of Emax fitting and simulation functions |
... |
None additional inputs supported |
Variance-Covariance matrix for the MLE estimates of the parameters from fitEmax.
The lower half of the variance-covariance matrix for the estimated
parameters stored as a vector in column-major order for each
emaxsim simulation. The vc matrix has 16,9, or 4
elements depending on fitType.
Neal Thomas
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) vcov(testout)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.