| FIC_reorder_univar | Univariate ordering under FIC approximation, first m chosen by m iter of dense univariate reordering |
| find_nn_corr | Find ordered nearest neighbors based on a correlation Matrix. Assuming the absolute value of the correlation is monotonically decreasing with distance. Returns an n X (m + 1) matrix similar to 'GpGp::find_ordered_nn'. |
| get_sp_inv_chol | Get the inverse upper Cholesky factor under the Vecchia approximation |
| loglk_censor_MVN | Compute censored multivariate normal (MVN) log-probabilities that have spatial covariance matrices using Vecchia approximation |
| mvrandn | Simulate truncated multivariate normal (TMVN) using the Vecchia approximation |
| mvrandt | Simulate truncated multivariate normal (TMVT) using the Vecchia approximation |
| pmvn | Compute multivariate normal (MVN) probabilities that have spatial covariance matrices using Vecchia approximation |
| pmvn_MLMC | Applying the multi-level Monte Carlo (MLMC) technique to the pmvn function The function uses 'NLevel1 = 1' for 'm = m2' and the same exponential tilting parameter as 'm = m1' to compute one MC estimate. This MC estimate is used to correct the bias from the Vecchia approximation |
| pmvt | Compute multivariate Student-t (MVT) probabilities that have spatial covariance matrices using Vecchia approximation |
| pmvt_MLMC | Applying the multi-level Monte Carlo (MLMC) technique to the pmvt function The function uses 'NLevel1 = 1' for 'm = m2' and the same exponential tilting parameter as 'm = m1' to compute one MC estimate. This MC estimate is used to correct the bias from the Vecchia approximation |
| ptmvrandn | Simulate partially censored multivariate normal (MVN) at censored locations using the Vecchia approximation |
| univar_order | Univariate variable reordering, described in Genz and Bretz (2009) If failed due to PD singularity, the unfinished order will be returned and a warning will be issued |
| VeccTMVN | VeccTMVN |
| Vecc_reorder | Univariate ordering under Vecchia approximation |