Man pages for mtalluto/mbm
Multifaceted Biodiversity Modelling
| alpha_diversity | Compute alpha diversity metrics Note that the Simpson index... |
| bc | Compute dissimilarity indices |
| branch_adjacency | Branch adjacency |
| check_python | Check if necessary Python packages can be loaded |
| ci_parametric | Parametric confidence intervals for mbm objects |
| confint.mbm | Confidence intervals for MBM models |
| cwm | Community weighted mean trait values |
| dendrosor | Sorensen dissimilarity index based on a dendrogram |
| env_dissim | Compute a dataframe of environmental dissimilarity values |
| gp_params | GP parameters for an MBM object |
| inducing | Matrix of inducing inputs for an MBM object |
| make_mbm | Construct (but do not fit) an mbm model |
| make_symmetric | Turn an MBM prediction dataframe into a symmetric matrix |
| mbm | Create an mbm model |
| methods | Standard R methods for mbm objects |
| mpd | Mean pairwise distance |
| phylosor | Phylogenetic sorensen dissimilarity index |
| predict.mbm | Predict method for MBM objects |
| predict_mbm_raster | Prediction for MBM from a raster dataset |
| rc | Plot response curves |
| rc_data | Generate x-data for response curves |
| set_mbm_link | Set up link functions for mbm objects |
| set_mean_function | Set up MBM mean function |
| setup_mbm_kernel | Set up MBM kernel |
| setup_y_transform | Set y transformations for an MBM object |
| sor | Sorensen dissimilarity (without partitioning) |
| sorensen | Sorensen dissimilarity index |
| spatial_predict | Spatial MBM prediction |
| spmethods | Standard R methods for mbmSP objects |
