| $<-.sim_df | Extract or replace parts of a SIM data frame |
| as.data.frame.sim_list | Coerce to a Data Frame |
| attractiveness | Extract the attractivenesses from a spatial interaction model object |
| autoplot.sim | Create a complete ggplot for a spatial interaction model |
| autoplot.sim_df | Create a complete ggplot for a spatial interaction models data frame |
| autoplot.sim_list | Create a complete variability for a collection of spatial interaction models |
| blvim | Compute an equilibrium solution of the Boltzmann-Lotka-Volterra model |
| c.sim_list | Combine multiple sim_list objects into a single one |
| costs | Extract the cost matrix used to compute this model |
| costs.sim_list | Extract the common cost matrix from a collection of spatial interaction models |
| destination_flow | Compute the flows incoming at each destination location |
| destination_names | Names of destination locations in a spatial interaction model |
| destination_names<- | Names of destination locations in a spatial interaction model |
| destination_positions | positions of destination locations in a spatial interaction model |
| destination_positions<- | positions of destination locations in a spatial interaction model |
| diversity | Compute the diversity of the destination locations in a spatial interaction model |
| diversity.sim | Compute the diversity of the destination locations in a spatial interaction model |
| diversity.sim_list | Compute the diversity of the destination locations in a spatial interaction model |
| flows | Extract the flow matrix from a spatial interaction model object |
| flows_df | Extract the flow matrix from a spatial interaction model object in data frame format |
| fortify.sim | Turn a spatial interaction model into a data frame |
| fortify.sim_list | Turn a collection of spatial interaction models into a data frame |
| french_cities | French cities |
| french_cities_distances | French cities distances |
| french_cities_times | French cities distances |
| french_departments | French departments |
| french_regions | French regions |
| grid_attractiveness | Extract all the attractivenesses from a collection of spatial interaction models |
| grid_autoplot | Create a complete ggplot for spatial interaction models in a data frame |
| grid_blvim | Compute a collection of Boltzmann-Lotka-Volterra model solutions |
| grid_destination_flow | Extract all the destination flows from a collection of spatial interaction models |
| grid_diversity | Compute diversities for a collection of spatial interaction models |
| grid_is_terminal | Extract all terminal status from a collection of spatial interaction models |
| grid_sim_converged | Reports the convergence statuses of a collection of spatial interaction models |
| grid_sim_iterations | Returns the number of iterations used to produce of a collection of spatial interaction models |
| grid_var_autoplot | Create a complete variability plot for spatial interaction models in a data frame |
| inverse_cost | Extract the inverse cost scale parameter used to compute this model |
| is_terminal | Report whether locations are terminal sites or not |
| location_names | Names of origin and destination locations in a spatial interaction model |
| location_names<- | Names of origin and destination locations in a spatial interaction model |
| location_positions | Positions of origin and destination locations in a spatial interaction model |
| location_positions<- | Positions of origin and destination locations in a spatial interaction model |
| median.sim_list | Compute the "median" of a collection of spatial interaction models |
| names<-.sim_df | Set the column names of a SIM data frame |
| nd_graph | Compute the Nystuen and Dacey graph for a spatial interaction model |
| nd_graph.sim | Compute the Nystuen and Dacey graph for a spatial interaction model |
| origin_names | Names of origin locations in a spatial interaction model |
| origin_names<- | Names of origin locations in a spatial interaction model |
| origin_positions | Positions of origin locations in a spatial interaction model |
| origin_positions<- | Positions of origin locations in a spatial interaction model |
| print.summary_sim_list | Summary of a collection of spatial interaction models |
| production | Extract the production constraints from a spatial interaction model object |
| quantile.sim_list | Compute quantiles of the flows in a collection of spatial interaction models |
| return_to_scale | Extract the return to scale parameter used to compute this model |
| sim_column | Get the collection of spatial interaction models from a SIM data frame |
| sim_converged | Reports whether the spatial interaction model construction converged |
| sim_df | Create a spatial interaction models data frame from a collection of interaction models |
| sim_df_extract | Extract or replace parts of a SIM data frame |
| sim_distance | Compute all pairwise distances between the spatial interaction models in a collection |
| sim_is_bipartite | Reports whether the spatial interaction model is bipartite |
| sim_iterations | Returns the number of iterations used to produce this spatial interaction model |
| sim_list | Create a sim_list object from a list of spatial interaction objects |
| static_blvim | Compute flows between origin and destination locations |
| summary.sim_list | Summary of a collection of spatial interaction models |
| terminals | Compute terminals for a spatial interaction model |
| [.sim_df | Extract or replace parts of a SIM data frame |
| [<-.sim_df | Extract or replace parts of a SIM data frame |
| [[<-.sim_df | Extract or replace parts of a SIM data frame |