Mean response and SE for specified doses for a simulated object output by function emaxalt
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.
## S3 method for class 'emaxalt' predict(object,dose, dref=0, ...)
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. |
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: ## 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)
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