Man pages for katzfuss-group/NPvecchia
Large Scale Covariance Estimation
| dot-create_data | Wrapper for data creation |
| find_nn | Find nearest neighbors based on a tapered covariance matrix |
| find_nn_dist | Find nearest neighbors based on a distance matrix |
| get_map | Creates MAP (maximum a posteriori) sparse matrix from thetas |
| get_mle | Creates the simplist frequentist version of our method |
| get_posts | Gets posteriors of Bayesian methodology |
| get_posts_c | Gets posteriors of Bayesian methodology |
| minus_loglikeli | Calculates the integrated log likelihood |
| minus_loglikeli_c | Calculates the integrated log likelihood |
| na_omit_c | Remove NAs from a vector |
| NPVecchia-package | Large Scale Covariance Estimation |
| orderByCoordinate | Order by one a single coordinate |
| orderDist2Point | Order by distance to some point loc0 |
| order_maximin_dist | Maximin ordering based on a distance |
| orderMaxMinFast | Max-min ordering function |
| orderMaxMinFaster | Faster maximin ordering by Euclidean distance |
| orderMiddleOut | Order by distance to the center |
| order_mm_tapered | Maximin ordering using a tapered covariance matrix |
| run_npvecchia | Wrapper to get the MAP given data |
| samp_posts | Creates posterior mean sparse matrix from posteriors |
| samp_posts_c | Creates posterior mean sparse matrix from posteriors |
| thetas_to_priors | Transforms hyperparameters to priors |
| thetas_to_priors_c | Transforms hyperparameters to priors |
