VB_bms: Bayesian model selection for group studies

In mattelisi/bmsR: Bayesian model selection for group studies in R

Description

This function is translated from spm_BMS.m function, of SPM12, https://github.com/neurodebian/spm12/blob/master/spm_BMS.m

Usage

VB_bms(m, n_samples = 1e+06)

Arguments

m	N by K (N subjects by K models) matrix of log-model evidence.
n_samples	Number of samples used in the simulation used for calculating exceedance probabilities.

Value

a list with the posterior estimates of the Dirichlet parameters (alpha), the expected model frequencies (r), the exceedance probabilities (xp), the Bayesian Omnibus Risk (bor), and the protected exceedance probabilities (pxp).

mattelisi/bmsR documentation built on March 9, 2020, 2:55 p.m.