DRDensityPlot           Plot Bayes or confidence interval density
                        contours over a grid of points (usually dose or
                        time)
FixedMean               Fixed means (proportions) random data
                        constructor for emaxsim for continuous or
                        binary data
RandEmax                Random data constructor function for emaxsim
                        creating random parameters for an Emax model
                        for continuous or binary data.
SeEmax                  Asymptotic SE for dose response estimates from
                        a 3- or 4- parameter Emax model
[.emaxsim               Extract a simulation from the output of emaxsim
[.emaxsimB              Extract a simulation from the output of
                        emaxsimB
bpchkMonoEmax           Bayes posterior predictive test for Emax
                        (monotone) model fit
checkMonoEmax           Bayes posterior predictive test for Emax
                        (monotone) model fit
clinDR-package          Bayesian and maximum likelihood Emax model
                        fitting, graphics and simulation for clinical
                        dose response.
coef.fitEmax            Extract Emax model parameter estimates
compileStanModels       Compile 'rstan' Emax models after package
                        'clinDR' is installed
emaxPrior.control       Set the parameters of the prior distribution
                        for the Emax model implemented in 'fitEmaxB'.
emaxalt                 Fit 4- or 3-parameter Emax model substituting
                        simpler curves if convergence not achieved.
emaxfun                 Vectorized versions of the hyperbolic and
                        sigmoidal Emax models
emaxsim                 Simulate Emax maximum likelihood estimation
emaxsimB                Simulate Emax Bayesian estimation
fitEmax                 ML fit of hyperbolic or sigmoidal Emax models
                        to continuous/binary dose response data.
fitEmaxB                Bayesian fit of hyperbolic or sigmoidal Emax
                        models to continuous/binary dose response data.
mcmc.control            Settings for 'restan' execution in function
                        'fitEmaxB'
metaData                Dose response data from several published
                        meta-analyses
nllogis                 The negative log likelihood function for a 3-
                        or 4- parameter Emax model on the logit scale
                        for binary dose response.
plot.emaxsim            Plot the output of emaxsim
plot.emaxsimB           Plot the output of emaxsimB
plot.emaxsimBobj        Plot dose response from a data set generated by
                        emaxsimB
plot.emaxsimobj         Plot dose response from a data set generated by
                        emaxsim
plot.fitEmax            Plot a Emax model and dose group means.
plot.fitEmaxB           Plot a Emax model and dose group means.
plot.plotB              Plot Bayes dose response curve and dose group
                        means
plotB                   Plot Bayes dose response curve and dose group
                        means
plotBdensity            Density plot displaying Bayes prior or
                        posterior dose response
plotD                   Basic plot of dose group means
predict.emaxalt         Mean response and SE for specified doses for a
                        simulated object output by function emaxalt
predict.emaxsim         Mean response and SE for specified doses for
                        each replicate data set in an emaxsim object
predict.emaxsimB        Mean response and SE for each replicate data
                        set in an emaxsimB object
predict.emaxsimBobj     Mean response estimates (posterior means) and
                        SE (posterior SD) for specified doses for a
                        simulated emaxsimBobj object
predict.emaxsimobj      Mean response and SE for specified doses for a
                        simulated emaxsimobj object
predict.fitEmax         Estimated mean/proportion and confidence
                        intervals derived from the maximum likelihood
                        fit of a 3- or 4- parameter Emax model.
predict.fitEmaxB        Estimated mean and posterior intervals derived
                        from a Bayesian hyperbolic or sigmiodial Emax
                        model.
print.emaxPrior         Print protocol or sap text describing the prior
                        distribution for the model parameters of the
                        input emaxPrior object
print.emaxsim           Print simulation output from emaxsim
print.emaxsimB          Print simulation output from emaxsimB
print.emaxsimBobj       Print a summary of the fitted Emax model
print.emaxsimobj        Print a data set generated by emaxsim
print.fitEmax           Print a summary of the fitted Emax model
print.fitEmaxB          Print a summary of the fitted Bayesian Emax
                        model
prior.control           Set the parameters of the prior distribution
                        for the Emax model implemented in 'fitEmaxB'.
randomEmax              Random data constructor function for emaxsim(B)
                        creating random parameters for an Emax model
                        for continuous or binary data.
runSimulations          Shiny app for function 'emaxsim(B)'
selEstan                Select a pre-compiled 'rstan' Emax model
showStanModels          Display 'STAN' model code.
sigma.fitEmax           Extract Emax model residual SD estimates
solveEmax               Solve Emax function for target value
startEmax               Compute starting parameter values for the 3- or
                        4- Emax model.
summary.emaxsim         Summary of output of emaxsim
summary.emaxsimB        Summary of output of emaxsimB
summary.emaxsimBobj     Summarize Emax fit to a data set generated by
                        emaxsimB
summary.emaxsimobj      Summarize Emax fit to a data set generated by
                        emaxsim
summary.fitEmax         Print a summary of the fitted Emax model
summary.fitEmaxB        Print a summary of the fitted Bayesian Emax
                        model
targetBeta              Find a scaled Beta distribution matching
                        specified probabilities
targetCI                Compute the dose with confidence interval
                        exceeding a target change from placebo for each
                        simulated example in an emaxsim object.
targetD                 Compute the MLE (and its SE) of the dose
                        achieving a specified target improvement from
                        placebo.
update.emaxsimobj       Update estimation in a data set generated by
                        emaxsim
vcov.fitEmax            Extract Emax model variance-covariance matrix
                        for ML estimates
