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The RBesT tools are designed to support in the derivation of parametric informative priors, asses design characeristics and perform analyses. Supported endpoints include normal, binary and Poisson.

Details

For introductory material, please refer to the vignettes which include

  • Introduction (binary)

  • Introduction (normal)

  • Customizing RBesT Plots

  • Robust MAP, advanced usage

The main function of the package is gMAP. See it's help page for a detailed description of the statistical model.

Global Options

OptionDefaultDescription
RBesT.MC.warmup2000MCMC warmup iterations
RBesT.MC.iter6000total MCMC iterations
RBesT.MC.chains4MCMC chains
RBesT.MC.thin4MCMC thinning
RBesT.MC.controllist(adapt_delta=0.99,sets control argument for Stan call
stepsize=0.01,
max_treedepth=20)
RBesT.MC.ncp1parametrization: 0=CP, 1=NCP, 2=Automatic
RBesT.MC.init1range of initial uniform [-1,1] is the default
RBesT.MC.rescaleTRUEAutomatic rescaling of raw parameters
RBesT.verboseFALSErequests outputs to be more verbose
RBesT.integrate_argslist(lower=-Inf,arguments passed to integrate for
upper=Inf,intergation of densities
rel.tol=.Machine$double.eps^0.25,
abs.tol=.Machine$double.eps^0.25,
subdivisions=1E3)
RBesT.integrate_prob_eps1E-6probability mass left out from tails if integration needs to be restricted in range

Version History

See NEWS.md file.

References

Stan Development Team (2020). RStan: the R interface to Stan. R package version 2.19.3. https://mc-stan.org

Author

Maintainer: Sebastian Weber sebastian.weber@novartis.com

Other contributors: