predict.emaxsimobj {clinDR}R Documentation

Mean response and SE for specified doses for a simulated emaxsimobj object

Description

Estimated mean/proportion and standard error for specified doses computed from the output of a simulated data set created by function emaxsim. Also returns mean difference with placebo and their standard errors.

Usage

## S3 method for class 'emaxsimobj'
predict(object, 
          dose, dref=0,
          ...)

Arguments

object

Output of the extract function [] applied to an object createad by emaxsim.

dose

Vector (can be a single value) of doses where dose response curve is to be evaluated.

dref

A reference dose (0 by default) for contrasts, but other values can be specified. If specified, a single reference value must be given.

...

Optional arguments are not used.

Value

A list containing:

fitpred

Vector with mean dose response estimate for each specified dose.

fitdif

Corresponding differences with placebo.

sepred

SEs for fitpred.

sedif

SEs for fitdif.

Author(s)

Neal Thomas

See Also

emaxsim, summary.emaxsim, predict.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.parm<-c(log(ed50),emax,e0)    
meanlev<-emaxfun(doselev,pop.parm)  

###FixedMean is specialized constructor function for emaxsim
gen.parm<-FixedMean(n,doselev,meanlev,sdy)  
D1 <- emaxsim(nsim,gen.parm)
d10<-D1[10]
predict(d10,c(75,150))

## End(Not run)


[Package clinDR version 2.3.5 Index]