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 |