R: R Bayesian Evidence Synthesis Tools

# R Bayesian Evidence Synthesis Tools

## Documentation for package ‘RBesT’ version 1.11-0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

A B C D E F G H I L M N O P Q R S T U W misc

RBesT-package | R Bayesian Evidence Synthesis Tools

## -- A --

AS | Ankylosing Spondylitis.
as.matrix.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models
as.matrix.gMAPpred | Predictions from gMAP analyses
asthma | Asthma exacerbation recurrent event data.
as_draws | Transform 'gMAP' to 'draws' objects
as_draws.gMAP | Transform 'gMAP' to 'draws' objects
as_draws_array | Transform 'gMAP' to 'draws' objects
as_draws_array.gMAP | Transform 'gMAP' to 'draws' objects
as_draws_df | Transform 'gMAP' to 'draws' objects
as_draws_df.gMAP | Transform 'gMAP' to 'draws' objects
as_draws_list | Transform 'gMAP' to 'draws' objects
as_draws_list.gMAP | Transform 'gMAP' to 'draws' objects
as_draws_matrix | Transform 'gMAP' to 'draws' objects
as_draws_matrix.gMAP | Transform 'gMAP' to 'draws' objects
as_draws_rvars | Transform 'gMAP' to 'draws' objects
as_draws_rvars.gMAP | Transform 'gMAP' to 'draws' objects
automixfit | Automatic Fitting of Mixtures of Conjugate Distributions to a Sample

## -- B --

BinaryExactCI | Exact Confidence interval for Binary Proportion

## -- C --

coef.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models
colitis | Ulcerative Colitis.
crohn | Crohn's disease.

## -- D --

decision1S | Decision Function for 1 Sample Designs
decision1S_boundary | Decision Boundary for 1 Sample Designs
decision1S_boundary.betaMix | Decision Boundary for 1 Sample Designs
decision1S_boundary.gammaMix | Decision Boundary for 1 Sample Designs
decision1S_boundary.normMix | Decision Boundary for 1 Sample Designs
decision2S | Decision Function for 2 Sample Designs
decision2S_boundary | Decision Boundary for 2 Sample Designs
decision2S_boundary.betaMix | Decision Boundary for 2 Sample Designs
decision2S_boundary.gammaMix | Decision Boundary for 2 Sample Designs
decision2S_boundary.normMix | Decision Boundary for 2 Sample Designs
dmix | Mixture Distributions
dmixdiff | Difference of mixture distributions
draws-RBesT | Transform 'gMAP' to 'draws' objects

## -- E --

ess | Effective Sample Size for a Conjugate Prior
ess.betaMix | Effective Sample Size for a Conjugate Prior
ess.gammaMix | Effective Sample Size for a Conjugate Prior
ess.normMix | Effective Sample Size for a Conjugate Prior

## -- F --

fitted.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models
forest_plot | Forest Plot

## -- G --

gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models

## -- H --

has_lower | Decision Function for 1 Sample Designs
has_upper | Decision Function for 1 Sample Designs

## -- I --

inv_logit | Logit (log-odds) and inverse-logit function.

## -- L --

likelihood | Read and Set Likelihood to the Corresponding Conjugate Prior
likelihood<- | Read and Set Likelihood to the Corresponding Conjugate Prior
lodds | Logit (log-odds) and inverse-logit function.
logit | Logit (log-odds) and inverse-logit function.
lower | Decision Function for 1 Sample Designs

## -- M --

mix | Mixture Distributions
mixbeta | Beta Mixture Density
mixcombine | Combine Mixture Distributions
mixdiff | Difference of mixture distributions
mixfit | Fit of Mixture Densities to Samples
mixfit.array | Fit of Mixture Densities to Samples
mixfit.default | Fit of Mixture Densities to Samples
mixfit.gMAP | Fit of Mixture Densities to Samples
mixfit.gMAPpred | Fit of Mixture Densities to Samples
mixgamma | The Gamma Mixture Distribution
mixjson | Write and Read a Mixture Object with JSON
mixmvnorm | Multivariate Normal Mixture Density
mixnorm | Normal Mixture Density
mixplot | Plot mixture distributions
mixstanvar | Mixture distributions as 'brms' priors
mn2beta | Beta Mixture Density
mn2gamma | The Gamma Mixture Distribution
mn2norm | Normal Mixture Density
ms2beta | Beta Mixture Density
ms2gamma | The Gamma Mixture Distribution
msr2mvnorm | Multivariate Normal Mixture Density

## -- N --

nsamples | Return the number of posterior samples
nsamples.gMAP | Return the number of posterior samples

## -- O --

oc1S | Operating Characteristics for 1 Sample Design
oc1S.betaMix | Operating Characteristics for 1 Sample Design
oc1S.gammaMix | Operating Characteristics for 1 Sample Design
oc1S.normMix | Operating Characteristics for 1 Sample Design
oc1Sdecision | Decision Function for 1 Sample Designs
oc2S | Operating Characteristics for 2 Sample Design
oc2S.betaMix | Operating Characteristics for 2 Sample Design
oc2S.gammaMix | Operating Characteristics for 2 Sample Design
oc2S.normMix | Operating Characteristics for 2 Sample Design
oc2Sdecision | Decision Function for 2 Sample Designs

## -- P --

plot.EM | Diagnostic plots for EM fits
plot.gMAP | Diagnostic plots for gMAP analyses
plot.mix | Plot mixture distributions
plot.mvnormMix | Plot mixture distributions
pmix | Mixture Distributions
pmixdiff | Difference of mixture distributions
pos1S | Probability of Success for a 1 Sample Design
pos1S.betaMix | Probability of Success for a 1 Sample Design
pos1S.gammaMix | Probability of Success for a 1 Sample Design
pos1S.normMix | Probability of Success for a 1 Sample Design
pos2S | Probability of Success for 2 Sample Design
pos2S.betaMix | Probability of Success for 2 Sample Design
pos2S.gammaMix | Probability of Success for 2 Sample Design
pos2S.normMix | Probability of Success for 2 Sample Design
postmix | Conjugate Posterior Analysis
postmix.betaMix | Conjugate Posterior Analysis
postmix.gammaMix | Conjugate Posterior Analysis
postmix.normMix | Conjugate Posterior Analysis
preddist | Predictive Distributions for Mixture Distributions
preddist.betaMix | Predictive Distributions for Mixture Distributions
preddist.gammaMix | Predictive Distributions for Mixture Distributions
preddist.mvnormMix | Predictive Distributions for Mixture Distributions
preddist.normMix | Predictive Distributions for Mixture Distributions
predict.gMAP | Predictions from gMAP analyses
print.betaBinomialMix | Beta Mixture Density
print.betaMix | Beta Mixture Density
print.gammaExpMix | The Gamma Mixture Distribution
print.gammaMix | The Gamma Mixture Distribution
print.gammaPoissonMix | The Gamma Mixture Distribution
print.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models
print.gMAPpred | Predictions from gMAP analyses
print.mvnormMix | Multivariate Normal Mixture Density
print.normMix | Normal Mixture Density

## -- Q --

qmix | Mixture Distributions
qmixdiff | Difference of mixture distributions

## -- R --

RBesT | R Bayesian Evidence Synthesis Tools
read_mix_json | Write and Read a Mixture Object with JSON
rmix | Mixture Distributions
rmixdiff | Difference of mixture distributions
robustify | Robustify Mixture Priors
robustify.betaMix | Robustify Mixture Priors
robustify.gammaMix | Robustify Mixture Priors
robustify.normMix | Robustify Mixture Priors

## -- S --

sigma | Normal Mixture Density
sigma.mvnormMix | Multivariate Normal Mixture Density
sigma.normMix | Normal Mixture Density
sigma<- | Normal Mixture Density
summary.betaBinomialMix | Beta Mixture Density
summary.betaMix | Beta Mixture Density
summary.gammaMix | The Gamma Mixture Distribution
summary.gammaPoissonMix | The Gamma Mixture Distribution
summary.gMAP | Meta-Analytic-Predictive Analysis for Generalized Linear Models
summary.gMAPpred | Predictions from gMAP analyses
summary.mvnormMix | Multivariate Normal Mixture Density
summary.normMix | Normal Mixture Density

## -- T --

transplant | Transplant.

## -- U --

upper | Decision Function for 1 Sample Designs

## -- W --

write_mix_json | Write and Read a Mixture Object with JSON

## -- misc --

[[.mix | Mixture Distributions