clinDR

Extract a simulation from the output of emaxsim

Extract a simulation from the output of emaxsimB

Plot Bayes or confidence interval density contours over a grid of points (usually dose or time)

Fixed means (proportions) random data constructor for emaxsim for continuous or binary data

Random data constructor function for emaxsim creating random parameters for an Emax model for continuous or binary data.

Asymptotic SE for dose response estimates from a 3- or 4- parameter Emax model

Bayes posterior predictive test for Emax (monotone) model fit

Bayesian and maximum likelihood Emax model fitting, graphics and simulation for clinical dose response.

Extract Emax model parameter estimates

Compile rstan Emax models after package clinDR is installed

Set the parameters of the prior distribution for the Emax model implemented in fitEmaxB.

Fit 4- or 3-parameter Emax model substituting simpler curves if convergence not achieved.

Vectorized versions of the hyperbolic and sigmoidal Emax models

Simulate Emax maximum likelihood estimation

Simulate Emax Bayesian estimation

Solve Emax function for target value

ML fit of hyperbolic or sigmoidal Emax models to continuous/binary dose response data.

Bayesian fit of hyperbolic or sigmoidal Emax models to continuous/binary dose response data.

Settings for restan execution in function fitEmaxB

Dose response data from several published meta-analyses

The negative log likelihood function for a 3- or 4- parameter Emax model on the logit scale for binary dose response.

Plot the output of emaxsim

Plot the output of emaxsimB

Plot dose response from a data set generated by emaxsimB

Plot dose response from a data set generated by emaxsim

Plot a Emax model and dose group means.

Plot a Emax model and dose group means.

Plot Bayes dose response curve and dose group means

Plot Bayes dose response curve and dose group means

Density plot displaying Bayes prior or posterior dose response

Basic plot of dose group means

Mean response and SE for specified doses for a simulated object output by function emaxalt

Mean response and SE for specified doses for each replicate data set in an emaxsim object

Mean response and SE for each replicate data set in an emaxsimB object

Mean response estimates (posterior means) and SE (posterior SD) for specified doses for a simulated emaxsimBobj object

Mean response and SE for specified doses for a simulated emaxsimobj object

Estimated mean/proportion and confidence intervals derived from the maximum likelihood fit of a 3- or 4- parameter Emax model.

Estimated mean and posterior intervals derived from a Bayesian hyperbolic or sigmiodial Emax model.

Print simulation output from emaxsim

Print simulation output from emaxsimB

Print a summary of the fitted Emax model

Print a data set generated by emaxsim

Print a summary of the fitted Emax model

Print a summary of the fitted Bayesian Emax model

Set the parameters of the prior distribution for the Emax model implemented in fitEmaxB.

Shiny app for function emaxsim(B)

Select a pre-compiled rstan Emax model

Display STAN model code.

Extract Emax model residual SD estimates

Compute starting parameter values for the 3- or 4- Emax model.

Summary of output of emaxsim

Summary of output of emaxsimB

Summarize Emax fit to a data set generated by emaxsimB

Summarize Emax fit to a data set generated by emaxsim

Print a summary of the fitted Emax model

Print a summary of the fitted Bayesian Emax model

Find a scaled Beta distribution matching specified probabilities

Compute the dose with confidence interval exceeding a target change from placebo for each simulated example in an emaxsim object.

Compute the MLE (and its SE) of the dose achieving a specified target improvement from placebo.

Update estimation in a data set generated by emaxsim

Extract Emax model variance-covariance matrix for ML estimates