R Bayesian Evidence Synthesis Tools

Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases).


News

February 2nd, 2018 (1.3-3)

  • Change numerical equality testing to use expect_equal (which uses all.equal internally accounting for machine specifc tolerances) to pass tests for no long double case. Numerical tolerances are reverted back to 1.3-1 settings.

January 25th, 2018 (1.3-2)

  • Adjust numerical tolerances to pass tests for no long double case

December 21st, 2017 (1.3-1)

  • Add Trustees of Columbia copyright for respective files in DESCRIPTION

December 21st, 2017 (1.3-0)

  • Added probability of success calculation for 1+2 sample case.

  • Added decision1+2S_boundary functions (and deprecated use of y2 argument of oc functions)

  • Added RBesT.integrate_args option for greater control over density integrations.

  • Correct cumulative predictive of beta mixtures to return 0/1 for out-of-range values (instead of leaving those out).

  • Deprecated functions oc1+2Sdecision which are replaced by decision1+2S.

August 21st, 2017 (1.2-3)

  • Fix plotting procedures to work with bayesplot 1.3.0

July 12th, 2017 (1.2-2)

  • Further speedup example runtimes.

July 12th, 2017 (1.2-1)

  • Compactify reference PDF manual.
  • Introduce sampling arguments to gMAP.
  • Shorten runtime of examples.

July 3rd, 2017 (1.2-0)

  • First CRAN release.
  • Update of documentation.

May 15th, 2017 (1.1-0)

  • Redesign of reference scale handling for normal case.
  • Enable standard error as sufficient statistic in \code{postmix} function.
  • Introduced plotting options.
  • Increased adapt_delta default and set stepsize+max_treedepth default.
  • Added RBesT.MC.{ncp, init, rescale} option.
  • Corrections for Poisson OC.
  • pmixdiff function now integrates over full support.
  • Added \code{link} argument to \code{oc2Sdecision} which enables designs based on log-odds decisions or relative risks.
  • New graphical vignette and new forest plot function.
  • Use \pkg{bayesplot} as standard plotting package.

March 10th, 2016 (1.0-0)

  • Stabilize integration in pmixdiff for beta mixtures by logit transform.
  • Set default adapt_delta to 0.975.
  • Made RBesT compatible with ggplot2 2.0.
  • Allowed n2=0 in \code{oc2S} function.

Oct 28th 2015 (0.9-2)

  • Corrected Poisson stratified estimates.
  • Added warning on divergent transitions.
  • Added the crohn dataset.

Sept 3rd 2015 (0.9-1)

  • Minor typo fixes.

Sept 1st 2015 (0.9-0)

  • First release.

Reference manual

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install.packages("RBesT")

1.3-3 by Sebastian Weber, 21 days ago


Browse source code at https://github.com/cran/RBesT


Authors: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Trustees of Columbia University [cph] (src/init.cpp, tools/make_cpp.R, R/stanmodels.R)


Documentation:   PDF Manual  


GPL (>= 3) | file LICENSE license


Imports assertthat, mvtnorm, Formula, checkmate, rstan, bayesplot, ggplot2, dplyr, stats, utils, lme4

Depends on Rcpp, methods

Suggests rmarkdown, knitr, testthat, foreach, tidyverse, rstanarm

Linking to StanHeaders, rstan, BH, Rcpp, RcppEigen

System requirements: pandoc


See at CRAN