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RBesT (version 1.2-2)

R Bayesian Evidence Synthesis Tools

Description

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).

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Version

Install

install.packages('RBesT')

Monthly Downloads

1,532

Version

1.2-2

License

GPL (>= 3) | file LICENSE

Maintainer

Sebastian Weber

Last Published

July 12th, 2017

Functions in RBesT (1.2-2)

Curry

Functional programming utilities
RBesT-package

R Bayesian Evidence Synthesis Tools
chains2sample

Scrambles the order of a mcmc array object for usage as a mcmc sample. It is advisable to set order once per mcmc run, otherwise correlations in the mcmc sample will be lost.
colVars

Fast column-wise calculation of unbiased variances
AS

Ankylosing Spondylitis.
BinaryExactCI

Exact Confidence interval for Binary Proportion
dBetaBinomial

Beta-Binomial Probabilities
dlink<-

Transform Densities with a link function
mixgamma

The Gamma Mixture Distribution
mixlink

takes x and transforms it according to the defined link function of the mixture
lodds

Logit (log-odds) and inverse-logit function.
logLik.EM

Extract log likelihood from fitted EM objects
log_colSum_exp

Matrix version of log_sum_exp
log_sum_exp

Numerically stable summation of logs
colitis

Ulcerative Colitis.
crohn

Crohn's disease.
ess

Effective Sample Size for a Conjugate Prior
fill

Fill numeric objects
oc2Sdecision

Decision Function for 2 Sample Operating Characteristics
plot.EM

Diagnostic plots for EM fits
plot.gMAP

Diagnostic plots for gMAP analyses
plot.mix

Plot mixture distributions
mixcombine

Combine Mixture Distributions
mixdiff

Difference of mixture distributions
postmix

Conjugate Posterior Analysis
preddist

Predictive Distributions for Mixture Distributions
forest_plot

Forest Plot
gMAP

Meta-Analytic-Predictive Analysis for Generalized Linear Models
mixdist3

Utility function to instantiate 2 parameter mixture densities.
mixfit

Fit of Mixture Densities to Samples
SimSum

Summarize Arrays
automixfit

Automatic Fitting of Mixtures of Conjugate Distributions to a Sample
knn

k nearest neighbor algorithm for multi-variate data
likelihood

Read and Set Likelihood to the Corresponding Conjugate Prior
predict.gMAP

Predictions from gMAP analyses
robustify

Robustify Mixture Priors
mix

Mixture Distributions
mixbeta

Beta Mixture Density
mixnorm

Normal Mixture Density
oc1S

Operating Characteristics for 1 Sample Design
uniroot_int

Find root of univariate function of integers
oc1Sdecision

Decision Function for 1 Sample Operating Characteristics
oc2S

Operating Characteristics for 2 Sample Design
support

Support of Distributions
transplant

Transplant.