Tools for Bayesian Analyses


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Documentation for package ‘BayesTools’ version 0.1.3

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B C D E F G I J L M P Q R S V W misc

BayesTools-package BayesTools

-- B --

BayesTools BayesTools
BayesTools_ensemble_tables Create BayesTools ensemble summary tables
BayesTools_model_tables Create BayesTools model tables

-- C --

ccdf Creates generics for common statistical functions
ccdf.prior Elementary prior related functions
cdf Creates generics for common statistical functions
cdf.prior Elementary prior related functions
check_bool Check input
check_char Check input
check_input Check input
check_int Check input
check_list Check input
check_real Check input
compute_inference Compute posterior probabilities and inclusion Bayes factors

-- D --

density.prior Prior density
dpoint Point mass distribution

-- E --

ensemble_diagnostics_table Create BayesTools ensemble summary tables
ensemble_estimates_table Create BayesTools ensemble summary tables
ensemble_inference Compute posterior probabilities and inclusion Bayes factors
ensemble_inference_table Create BayesTools ensemble summary tables
ensemble_summary_table Create BayesTools ensemble summary tables

-- F --

format_BF Format Bayes factor

-- G --

geom_prior Add prior object to a ggplot
geom_prior_list Add list of prior objects to a plot

-- I --

inclusion_BF Compute inclusion Bayes factors
interpret Interpret ensemble inference and estimates
is.prior Reports whether x is a a prior object
is.prior.none Reports whether x is a a prior object
is.prior.PEESE Reports whether x is a a prior object
is.prior.PET Reports whether x is a a prior object
is.prior.point Reports whether x is a a prior object
is.prior.simple Reports whether x is a a prior object
is.prior.weightfunction Reports whether x is a a prior object

-- J --

JAGS_add_priors Add 'JAGS' prior
JAGS_bridgesampling Compute marginal likelihood of a 'JAGS' model
JAGS_bridgesampling_posterior Prepare 'JAGS' posterior for 'bridgesampling'
JAGS_check_and_list Check and list 'JAGS' fitting settings
JAGS_check_and_list_autofit_settings Check and list 'JAGS' fitting settings
JAGS_check_and_list_fit_settings Check and list 'JAGS' fitting settings
JAGS_check_convergence Assess convergence of a runjags model
JAGS_fit Fits a 'JAGS' model
JAGS_get_inits Create initial values for 'JAGS' model
JAGS_marglik_parameters Extract parameters for 'JAGS' priors
JAGS_marglik_priors Compute marginal likelihood for 'JAGS' priors
JAGS_to_monitor Create list of monitored parameters for 'JAGS' model

-- L --

lines.prior Add prior object to a plot
lines_prior_list Add list of prior objects to a plot
lpdf Creates generics for common statistical functions
lpdf.prior Elementary prior related functions

-- M --

mccdf Creates generics for common statistical functions
mccdf.prior Elementary prior related functions
mcdf Creates generics for common statistical functions
mcdf.prior Elementary prior related functions
mdone.sided Weight functions
mdone.sided_fixed Weight functions
mdtwo.sided Weight functions
mdtwo.sided_fixed Weight functions
mean.prior Prior mean
mix_posteriors Model-average posterior distributions
mlpdf Creates generics for common statistical functions
mlpdf.prior Elementary prior related functions
models_inference Compute posterior probabilities and inclusion Bayes factors
model_summary_table Create BayesTools model tables
mpdf Creates generics for common statistical functions
mpdf.prior Elementary prior related functions
mpone.sided Weight functions
mpone.sided_fixed Weight functions
mptwo.sided Weight functions
mptwo.sided_fixed Weight functions
mqone.sided Weight functions
mqone.sided_fixed Weight functions
mqtwo.sided Weight functions
mqtwo.sided_fixed Weight functions
mquant Creates generics for common statistical functions
mquant.prior Elementary prior related functions

-- P --

pdf Creates generics for common statistical functions
pdf.prior Elementary prior related functions
plot.prior Plots a prior object
plot_models Plot estimates from models
plot_posterior Plot samples from the mixed posterior distributions
plot_prior_list Plot a list of prior distributions
point Point mass distribution
ppoint Point mass distribution
print.BayesTools_table Print a BayesTools table
print.prior Prints a prior object
prior Creates a prior distribution
prior_functions Elementary prior related functions
prior_functions_methods Creates generics for common statistical functions
prior_informed Creates an informed prior distribution based on research
prior_informed_medicine_names Names of medical subfields from the Cochrane database of systematic reviews
prior_none Creates a prior distribution
prior_PEESE Creates a prior distribution for PET or PEESE models
prior_PET Creates a prior distribution for PET or PEESE models
prior_PP Creates a prior distribution for PET or PEESE models
prior_weightfunction Creates a prior distribution for a weight function

-- Q --

qpoint Point mass distribution
quant Creates generics for common statistical functions
quant.prior Elementary prior related functions

-- R --

range.prior Prior range
rng Creates generics for common statistical functions
rng.prior Elementary prior related functions
rone.sided Weight functions
rone.sided_fixed Weight functions
rpoint Point mass distribution
rtwo.sided Weight functions
rtwo.sided_fixed Weight functions
runjags_estimates_empty_table Create BayesTools model tables
runjags_estimates_table Create BayesTools model tables

-- S --

sd Creates generic for sd function
sd.prior Prior sd

-- V --

var Creates generic for var function
var.prior Prior var

-- W --

weightfunctions Weight functions
weightfunctions_mapping Create coefficient mapping between multiple weightfunctions

-- misc --

_PACKAGE BayesTools