beta.posterior.thetasamp: Beta posterior theta sampling

In mandymejia/BayesGLMfMRI: Spatial Bayesian Methods for Task Functional MRI Studies

Beta posterior theta sampling

Description

Internal function used in joint approach to group-analysis

Usage

beta.posterior.thetasamp(
  theta,
  spde,
  Xcros,
  Xycros,
  contrasts,
  quantiles,
  excursion_type,
  gamma,
  alpha,
  nsamp_beta = 100
)

Arguments

theta	A single sample of theta (hyperparameters) from q(theta|y)
spde	A SPDE object from inla.spde2.matern() function.
Xcros	A crossproduct of design matrix.
Xycros	A crossproduct of design matrix and BOLD y.
contrasts	A list of vectors of length M*K specifying the contrasts of interest.
quantiles	Vector of posterior quantiles to return in addition to the posterior mean
excursion_type	Vector of excursion function type (">", "<", "!=") for each contrast
gamma	Vector of activation thresholds for each contrast
alpha	Significance level for activation for the excursion sets
nsamp_beta	The number of samples to draw from full conditional of beta given the current value of theta (p(beta|theta,y))

Value

A list containing mu, quantiles, and F

INLA Requirement

This function requires the INLA package, which is not a CRAN package. See https://www.r-inla.org/download-install for easy installation instructions.

mandymejia/BayesGLMfMRI documentation built on April 12, 2025, 3:41 p.m.