Tools for Bayesian Analyses
Adds column to BayesTools table
Model-average marginal posterior distributions and marginal Bayes fact...
Export BayesTools JAGS model posterior distribution as model-average p...
Create BayesTools ensemble summary tables
Create BayesTools model tables
BayesTools
Create a 'bridgesampling' object
Check input
BayesTools Contrast Matrices
Prior density
Compute posterior probabilities and inclusion Bayes factors
Format Bayes factor
Add list of prior objects to a plot
Add prior object to a ggplot
Compute inclusion Bayes factors
Interpret ensemble inference and estimates
Reports whether x is a a prior object
Add 'JAGS' prior
Prepare 'JAGS' posterior for 'bridgesampling'
Compute marginal likelihood of a 'JAGS' model
Check and list 'JAGS' fitting settings
Assess convergence of a runjags model
Plot diagnostics of a 'JAGS' model
Evaluate JAGS formula using posterior samples
Fits a 'JAGS' model
Create JAGS formula syntax and data object
Create initial values for 'JAGS' model
Extract parameters for 'JAGS' priors
Compute marginal likelihood for 'JAGS' priors
Create list of monitored parameters for 'JAGS' model
Add list of prior objects to a plot
Add prior object to a plot
Model-average marginal posterior distributions and marginal Bayes fact...
Model-average marginal posterior distributions
Prior mean
Model-average posterior distributions
Multivariate point mass distribution
Clean parameter names from JAGS
Plot samples from the marginal posterior distributions
Plot estimates from models
Plot samples from the mixed posterior distributions
Plot a list of prior distributions
Plots a prior object
Point mass distribution
Print a BayesTools table
Prints a prior object
Creates a prior distribution for factors
Creates generics for common statistical functions
Elementary prior related functions
Names of medical subfields from the Cochrane database of systematic re...
Creates an informed prior distribution based on research
Creates a mixture of prior distributions
Creates a prior distribution for PET or PEESE models
Creates a spike and slab prior distribution
Creates a prior distribution for a weight function
Creates a prior distribution
Prior range
Removes column to BayesTools table
Compute Savage-Dickey inclusion Bayes factors
Prior sd
Creates generic for sd function
Transform factor posterior samples into differences from the mean
Transform meandif posterior samples into differences from the mean
Transform orthonomal posterior samples into differences from the mean
Updates BayesTools table
Prior var
Creates generic for var function
Create coefficient mapping between multiple weightfunctions
Weight functions
Provides tools for conducting Bayesian analyses and Bayesian model averaging (Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>, Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains functions for creating a wide range of prior distribution objects, mixing posterior samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc... The tools for working with prior distribution span from visualization, generating 'JAGS' and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.