A suite of functions for computing various Bayes factors for simple designs, including contingency tables, one- and two-sample designs, one-way designs, general ANOVA designs, and linear regression.
|Author||Richard D. Morey [aut, cre], Jeffrey N. Rouder [aut], Tahira Jamil [ctb]|
|Date of publication||2015-09-19 19:50:23|
|Maintainer||Richard D. Morey <email@example.com>|
anovaBF: Function to compute Bayes factors for ANOVA designs
as.BFBayesFactor: Function to coerce objects to the BFBayesFactor class
as.BFprobability: Function to coerce objects to the BFprobability class
BayesFactor-package: Functions to compute Bayes factor hypothesis tests for common...
BFBayesFactor-class: General S4 class for representing multiple Bayes factor model...
BFBayesFactorList-class: General S4 class for representing a collection of Bayes...
BFInfo: Prints the version information for the BayesFactor package
BFManual: Opens the HTML manual for the BayesFactor package
BFodds-class: General S4 class for representing multiple odds model...
BFprobability-class: General S4 class for representing multiple model probability...
compare-methods: Compare two models, with respect to some data
contingencyTableBF: Function for Bayesian analysis of one- and two-sample designs
enumerateGeneralModels: Function for generation of nested linear models
extractBF-methods: Extract the Bayes factor from an object
extractOdds-methods: Extract the odds from an object
extractProbabilities-methods: Extract the probabilities from an object
filterBF: Filter the elements of an object according to some...
generalTestBF: Function to compute Bayes factors for general designs
grapes-same-grapes: Compare two objects to see if they are the 'same', for some...
grapes-termin-grapes: Find a model term in a vector of model terms
linearReg.R2stat: Use R^2 statistic to compute Bayes factor for regression...
lmBF: Function to compute Bayes factors for specific linear models
logMeanExpLogs: Functions to compute the logarithm of the mean (and...
meta.ttestBF: Function for Bayesian analysis of one- and two-sample designs
model-classes: General S4 classes for representing models for comparison
model.matrix-methods: Design matrices for Bayes factor linear models analyses.
newPriorOdds: Create prior odds from a Bayes factor object
nWayAOV: Use ANOVA design matrix to compute Bayes factors or sample...
oneWayAOV.Fstat: Use F statistic to compute Bayes factor for balanced one-way...
options-BayesFactor: options() for package BayesFactor
plot.BFBayesFactor: Plot a Bayes factor object
plot.BFBayesFactorTop: Plot a Bayes factor top-down object
posterior-methods: Sample from the posterior distribution of one of several...
priorLogodds-method: Set prior log odds in an object
priorOdds-method: Set prior odds in an object
proportionBF: Function for Bayesian analysis of proportions
puzzles: Puzzle completion times from Hays (1994)
raceDolls: Hraba and Grant (1970) children's doll preference data
recompute-methods: Recompute a Bayes factor computation or MCMC object.
regressionBF: Function to compute Bayes factors for regression designs
ttestBF: Function for Bayesian analysis of one- and two-sample designs
ttest.tstat: Use t statistic to compute Bayes factor for one- and two-...