| arma_dist | Compute the Euclidean distance matrix |
| bayesMvLMconjugate | Gibbs sampler for Conjugate Bayesian Multivariate Linear Models |
| BPS_combine | Combine subset models wiht BPS |
| BPS_post | Perform the BPS sampling from posterior and posterior predictive given a set of stacking weights |
| BPS_postdraws | Compute the BPS posterior samples given a set of stacking weights |
| BPS_postdraws_MvT | Compute the BPS posterior samples given a set of stacking weights |
| BPS_post_MvT | Perform the BPS sampling from posterior and posterior predictive given a set of stacking weights |
| BPS_pred | Compute the BPS spatial prediction given a set of stacking weights |
| BPS_pred_MvT | Compute the BPS spatial prediction given a set of stacking weights |
| BPS_PseudoBMA | Combine subset models wiht Pseudo-BMA |
| BPS_weights | Compute the BPS weights by convex optimization |
| BPS_weights_MvT | Compute the BPS weights by convex optimization |
| conv_opt | Solver for Bayesian Predictive Stacking of Predictive densities convex optimization problem |
| CVXR_opt | Compute the BPS weights by convex optimization |
| dens_kcv | Compute the KCV of the density evaluations for fixed values of the hyperparameters |
| dens_kcv_MvT | Compute the KCV of the density evaluations for fixed values of the hyperparameters |
| dens_loocv | Compute the LOOCV of the density evaluations for fixed values of the hyperparameters |
| dens_loocv_MvT | Compute the LOOCV of the density evaluations for fixed values of the hyperparameters |
| d_pred_cpp | Evaluate the density of a set of unobserved response with respect to the conditional posterior predictive |
| d_pred_cpp_MvT | Evaluate the density of a set of unobserved response with respect to the conditional posterior predictive |
| expand_grid_cpp | Build a grid from two vector (i.e. equivalent to 'expand.grid()' in 'R') |
| fit_cpp | Compute the parameters for the posteriors distribution of beta and Sigma (i.e. updated parameters) |
| fit_cpp_MvT | Compute the parameters for the posteriors distribution of beta and Sigma (i.e. updated parameters) |
| forceSymmetry_cpp | Function to subset data for meta-analysis |
| models_dens | Return the CV predictive density evaluations for all the model combinations |
| models_dens_MvT | Return the CV predictive density evaluations for all the model combinations |
| post_draws | Sample R draws from the posterior distributions |
| post_draws_MvT | Sample R draws from the posterior distributions |
| pred_bayesMvLMconjugate | Predictive sampler for Conjugate Bayesian Multivariate Linear Models |
| r_pred_cond | Draw from the conditional posterior predictive for a set of unobserved covariates |
| r_pred_cond_MvT | Draw from the conditional posterior predictive for a set of unobserved covariates |
| r_pred_joint | Draw from the joint posterior predictive for a set of unobserved covariates |
| r_pred_joint_MvT | Draw from the joint posterior predictive for a set of unobserved covariates |
| r_pred_marg | Draw from the marginals posterior predictive for a set of unobserved covariates |
| r_pred_marg_MvT | Draw from the joint posterior predictive for a set of unobserved covariates |
| sample_index | Function to sample integers (index) |
| spPredict_BPS | Perform prediction for BPS accelerated models - loop over prediction set |
| subset_data | Function to subset data for meta-analysis |