Man pages for andrewzm/MVST
Multi-variate ST modelling
| adj_matrix_from_nei_list | Return adjacency matrix from list of neighbours |
| assignment | Assignment methods |
| attribute_data | Data-attribution |
| attribute_polygon | Polygon-attribution |
| Basisclass | Parent class for basis functions |
| blockclass | Parent (virtual) class for all blocks (latent fields and... |
| block_list | List of blocks |
| block_listclass | List of blocks |
| border_from_grid_points | Extract border |
| check_md5 | Check md5 sum in cache directory |
| cholPermute | Sparse Cholesky Factorisation with fill-in reducing... |
| cholsolve | Solve the equation Qx = y |
| cholsolveAQinvAT | Solve the equation X = AQ^-1t(A) under permutations |
| colour_graph | Greedy graph colouring algorithm |
| compress | Compress graph |
| concat | Concatenation |
| ConstBasisclass | Constant functions basis |
| emptySp | Create an empty matrix |
| EmptyTheme | Empty-plot theme |
| extractClass | Extract class |
| FEBasisclass | Finite element basis |
| Findalphabeta_beta | Quantile difference when tuning Beta distribution... |
| Findalphabeta_gamma | Quantile difference when tuning Gamma distribution... |
| Findalphabeta_invgamma | Quantile difference when tuning inverse Gamma distribution... |
| find_hull | Find convex hull from a set of points |
| find_pivot_Bastos | Pivoted Cholesky factorisation |
| getC | Get incidence matrix |
| getDf | Get data frame |
| getMean | Get mean vector |
| getPrecision | Get precision matrix |
| GMRF | GMRF |
| GMRF_basis | GMRF function over basis |
| GMRF_basisclass | GMRF_basis |
| GMRFclass | GMRF |
| GMRF_RW | Random walk GMRF |
| GMRF_RWclass | GMRF_RW |
| Graph | Graph |
| Graph_2nodesclass | Graph_2nodes |
| graphclass | Graph |
| GRBFBasis-class | Gaussian radial basis functions basis |
| head | Return head object data frame |
| icesat | ICESAT data. |
| Imat | Create a sparse identity matrix |
| Infer | Infer |
| initFEbasis | Initialise a finite element basis |
| initGRBFbasis | Initialise a GRBF basis |
| kappa_from_l | Get scale from practical range |
| l_from_kappa | Get practical range from length scale |
| LinePlotTheme | Line-plot theme |
| link | link |
| linkclass | Link between latent process and observation |
| link_list | List of links |
| link_listclass | List of links |
| Load_data | Load data |
| Load_meshes | Load meshes |
| logdet | Find the log determinant |
| lscale_from_Matern | Find length scales by fitting a Matern |
| mass_matrix | Get mass matrix |
| md5_cache | md5 checksum function |
| md5_fun | Generate md5 checksum from function |
| MVST | Multi-variate spatio-temporal modelling |
| neighb_from_prec | Return neighb list from precision structure |
| nrow | Return size of object Get stiffness matrix |
| Obs | Observation block |
| Obsclass | observation block |
| Obs_poly | Observation block with support |
| Obs_polyclass | Observations with non-trivial spatial footprints |
| partition_nei_from_points | Find cpartition neighbourhood from underlying graph |
| partition_section | Recursion for the Kernigham-Lin equations |
| plot | Plot meshes and observations |
| plot_interp | Plots an interpolated field from a mesh |
| Prec_from_SPDE_wrapper | Precision matrix from SPDE |
| pred_variance_large | Predictive variance for large data sets |
| preprocess_obs | Pre-processes observations |
| processclass | Process block (virtual) |
| RBF_filter | RBF filter |
| roughness_from_topo | Extract roughness from topography |
| scale_brewer | Sequential, diverging and qualitative colour scales from... |
| setalpha | Set diffusion parameter on observations. |
| setGMRF | Set GMRF |
| setPrecision | Set precision matrix |
| shapefiles | Boundaries for Antarctica |
| slice | Wrapper to automate learning in a slice sampler |
| sparsediag | Create a sparse diagonal matrix |
| split_validation | Split data into training/testing groups |
| stat_mode | Find the mode from a set of samples |
| stiffness_matrix | Get stiffness matrix |
| subset | Subset an MVST object |
| surf_fe | Example mesh |
| tail | Return tail object data frame |
| Takahashi_Davis | Compute the Takahashi equations |
| validate | Predictive statistics for small validation data |
| VAR_Gauss | Vector auto-regressive model with GMRF represenation |
| VAR_Gaussclass | VAR_Gauss |
| Zeromat | Create an empty sparse matrix |
