predict.emaxalt {clinDR}R Documentation

Mean response and SE for specified doses for a simulated object output by function emaxalt

Description

Estimated mean and standard error for specified doses computed from the output of a model fit by function emaxalt. Also returns mean difference with placebo and their standard errors.

Usage

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

Arguments

object

Output of emaxalt

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

emaxalt, predict.emaxsimobj, predict.emaxsim

Examples


## Not run: 
## random number seed changed by this example

doselev<-c(0,5,25,50,100)
n<-c(78,81,81,81,77)
dose<-rep(doselev,n)

### 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),e0,emax)    
meanresp<-emaxfun(dose,pop.parm)  
y<-rnorm(sum(n),meanresp,sdy)

simout<-emaxalt(y,dose)
predict(simout,c(75,150))

simout2<-emaxalt(y,dose,modType=4)
predict(simout2,c(75,150))

## End(Not run)


[Package clinDR version 2.3.5 Index]