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summary.emaxsimBobj

Summarize Emax fit to a data set generated by emaxsimB


Description

Summary of the Bayesian Emax fit to a simulated data set

Usage

## S3 method for class 'emaxsimBobj'
summary(object, ...)

Arguments

object

Extracted simulation object

...

No other parameters are currently implemented

Value

Printed output only. No values are returned.

Author(s)

Neal Thomas

See Also

Examples

## Not run: 

## emaxsimB changes the random number seed
nsim<-50
doselev<-c(0,5,25,50,100)
n<-c(78,81,81,81,77)
Ndose<-length(doselev)

### population parameters for simulation
e0<-2.465375 
ed50<-67.481113 

dtarget<-100
diftarget<-2.464592
emax<-solveEmax(diftarget,dtarget,log(ed50),1,e0)

sdy<-7.967897
pop<-c(log(ed50),emax,e0)    
meanlev<-emaxfun(doselev,pop)  

###FixedMean is specialized constructor function for emaxsim
gen<-FixedMean(n,doselev,meanlev,sdy)  

prior<-emaxPrior.control(epmu=0,epsca=30,difTargetmu=0,
		difTargetsca=30,dTarget=100,p50=50,sigmalow=0.1,
		sigmaup=30,parmDF=5)
mcmc<-mcmc.control(chains=1,warmup=500,iter=5000,seed=53453,propInit=0.15,adapt_delta = 0.95)

D1 <- emaxsimB(nsim,gen, prior, modType=3,mcmc=mcmc,check=FALSE)
summary(D1[1])

## End(Not run)

clinDR

Simulation and Analysis Tools for Clinical Dose Response Modeling

v2.3.5
GPL (>= 2)
Authors
Neal Thomas [aut, cre] (<https://orcid.org/0000-0002-1915-8487>), Jing Wu [aut], Mike K. Smith [aut]
Initial release
2021-04-11

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