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alpha_update()
Function to update tau_k given an Exp(lambda_2) prior
bayesRCM-package bayesRCM
A Bayesian Heirarchical Random Covariance Model (RCM) for Multi-subject Task-based fMRI Analysis
bic_cal() bic_cal()
#BIC Calculations for tuning the lambda penalty in ind_graphs
g0_log_density()
Log density of omega_0, (i, j) posterior given bounds a, b
graph_update()
Function to update graph G, constraining the precision matrix Omega
gwish_ij_update()
Function to update an individual ij entry in G_k via method outline in Wang and Li (2011) "Efficient Gaussian Graphical Model Determination without Approximating Normalizing Constant of the G-Wishart distribution"
ind_graphs()
Independent glasso method for starting values
lambda2_update()
Function to update lambda_2 with Gamma prior
mbic_cal() mbic_cal()
Modified BIC for RCM
omega0_update()
Function to update group-level sparse covariance matrix Omega_0 / precision matrix Omega_0
randCov()
Random Covariance Model
rcm()
Bayesian robust Random Covariance Model (RCM) for heirarchical graphical modeling
sim_data()
Simulate bayesRCM data with underlying G-Wishart data generating mechanism
spcov_bcd()
Covariance Graphical Lasso
tau_update()
Function to update tau_k given an Exp(lambda_2) prior