Function reference • bayessource

Core functions Tools to elicit priors, compute marginal likelihoods and Bayes factors. Start from these to deploy {bayessource} to your project.
`bayessource-package`	Package bayessource
`get_minimum_nw_IW()`	Get minimum degrees of freedom for Inverted Wishart
`make_priors_and_init()`	Elicit priors and initialization from background dataset
`marginalLikelihood()`	Fast computation of the marginal likelihood for the Normal-Inverted Wishart model.
`mcmc_postproc()`	Post-process Gibbs chain outputs.
`samesource_C()`	Fast computation of the Bayes Factor (same source v. different sources) for the Normal - Inverted Wishart model.
Statistical functions Functions to sample from statistical distributions or compute densities.
`dmvnorm()`	Multivariate normal density. Assumes symmetry.
`rmvnorm()`	Generate from multivariate normal.
Wishart / Inverted Wishart functions Densities, sampling.
`diwishart()`	Inverted Wishart density, parametrization according to Press.
`diwishart_inverse()`	Inverted Wishart density from the inverse (faster).
`dwishart()`	Wishart density.
`get_minimum_nw_IW()`	Get minimum degrees of freedom for Inverted Wishart
`riwish_Press()`	Generate random sample from Inverted Wishart.
`rwish()`	Generate random sample from Wishart (faster).
Other functions Unsorted functions: mathematical tools, etc.
`inv_pd()`	Compute the inverse of a positive-definite matrix

Reference