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 |
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 |
sedif |
SEs for |
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 2.4.1 Index]