update.emaxsimobj {clinDR}R Documentation

Update estimation in a data set generated by emaxsim

Description

Allows re-estimation for a data set generated by emaxsim using a different starting value. Typically used to test different starting values when nls has failed to converge.

Usage

## S3 method for class 'emaxsimobj'
update(object, new.parm, modType=object$modType,...)

Arguments

object

Extracted simulation object

new.parm

New starting value for Emax estimation. Must have order (ed50,emax,e0)

modType

When modType=4, the fitting begins with the 4 parameter model. If estimation fails or modType=3, the 3-parameter estimation is applied. If it fails, a best-fitting model linear in its parameters is selected.

...

No other parameters currently used.

Value

A list is returned with class(emaxsimobj). It has the same format as those extracted by object[ ]

Author(s)

Neal Thomas

See Also

emaxsim

Examples


## Not run: 

## emaxsim changes the random number seed
nsim<-50
idmax<-5
doselev<-c(0,5,25,50,100)
n<-c(78,81,81,81,77)

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

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

sdy<-7.967897
pop<-c(log(ed50),emax,e0)    
meanlev<-emaxfun(doselev,pop)  

###FixedMean is specialized constructor function for emaxsim
gen<-FixedMean(n,doselev,meanlev,sdy)  
D1 <- emaxsim(nsim,gen)
e49<-D1[49]

#### re-try estimation starting at the population value
e49u<- update(e49,pop)

## End(Not run)


[Package clinDR version 2.3.5 Index]