R Bayesian Evidence Synthesis Tools


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Documentation for package ‘RBesT’ version 1.7-3

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A B C D E F G I L M O P Q R S T 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
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

-- 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

-- 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.

-- 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
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

-- 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
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.

-- misc --

[[.mix Mixture Distributions