Mean response and SE for specified doses for a simulated emaxsimobj object
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.
## S3 method for class 'emaxsimobj'
predict(object,
dose, dref=0,
...)object |
Output of the extract function [] applied to an object
createad by |
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. |
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 |
Neal Thomas
## 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)
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