Man pages for netdiffuseR
Analysis of Diffusion and Contagion Processes on Networks
| approx_geodesic | Approximate Geodesic Distances |
| as.array.diffnet | Coerce a diffnet graph into an array |
| as_dgCMatrix | Coerce a matrix-like objects to 'dgCMatrix' (sparse matrix) |
| bass | Bass Model |
| bootnet | Network Bootstrapping |
| brfarmers | Brazilian Farmers |
| brfarmersDiffNet | 'diffnet' version of the Brazilian Farmers data |
| c.diffnet | Combine diffnet objects |
| classify_adopters | Classify adopters accordingly to Time of Adoption and... |
| classify_graph | Analyze an R object to identify the class of graph (if any) |
| cumulative_adopt_count | Cummulative count of adopters |
| dgr | Indegree, outdegree and degree of the vertices |
| diag_expand | Creates a square matrix suitable for spatial statistics... |
| diffnet-arithmetic | 'diffnet' Arithmetic and Logical Operators |
| diffnet_check_attr_class | Infer whether 'value' is dynamic or static. |
| diffnet-class | Creates a 'diffnet' class object |
| diffnet_index | Indexing diffnet objects (on development) |
| diffnetmatmult | Matrix multiplication |
| diffreg | Diffusion regression model |
| diffusion-data | Diffusion Network Datasets |
| diffusionMap | Creates a heatmap based on a graph layout and a vertex... |
| drawColorKey | Draw a color key in the current device |
| edgelist_to_adjmat | Conversion between adjacency matrix and edgelist |
| edges_coords | Compute ego/alter edge coordinates considering alter's size... |
| egonet_attrs | Retrieve alter's attributes (network effects) |
| ego_variance | Computes variance of Y at ego level |
| exposure | Ego exposure |
| fakeDynEdgelist | Fake dynamic edgelist |
| fakeEdgelist | Fake static edgelist |
| fakesurvey | Fake survey data |
| fakesurveyDyn | Fake longitudinal survey data |
| grid_distribution | Distribution over a grid |
| hazard_rate | Network Hazard Rate |
| igraph | Coercion between graph classes |
| infection | Susceptibility and Infection |
| isolated | Find and remove isolated vertices |
| kfamily | Korean Family Planning |
| kfamilyDiffNet | 'diffnet' version of the Korean Family Planning data |
| matrix_compare | Non-zero element-wise comparison between two sparse matrices |
| medInnovations | Medical Innovation |
| medInnovationsDiffNet | 'diffnet' version of the Medical Innovation data |
| mentor_matching | Optimal Leader/Mentor Matching |
| moran | Computes Moran's I correlation index |
| netdiffuseR | netdiffuseR |
| netdiffuseR-graphs | Network data formats |
| netdiffuseR-options | 'netdiffuseR' default options |
| netmatch | Matching Estimators with Network Data |
| network | Coercion between 'diffnet', 'network' and 'networkDynamic' |
| nvertices | Count the number of vertices/edges/slices in a graph |
| permute_graph | Permute the values of a matrix |
| plot_adopters | Visualize adopters and cumulative adopters |
| plot_diffnet | Plot the diffusion process |
| plot.diffnet | S3 plotting method for diffnet objects. |
| plot_diffnet2 | Another way of visualizing diffusion |
| plot_infectsuscep | Plot distribution of infect/suscep |
| plot_threshold | Threshold levels through time |
| pretty_within | Pretty numbers within a range. |
| rdiffnet | Random diffnet network |
| read_pajek | Read foreign graph formats |
| read_ucinet_head | Reads UCINET files |
| recode | Recodes an edgelist such that ids go from 1 to n |
| rescale_vertex_igraph | Rescale vertex size to be used in 'plot.igraph'. |
| rewire_graph | Graph rewiring algorithms |
| rgraph_ba | Scale-free and Homophilic Random Networks |
| rgraph_er | Erdos-Renyi model |
| rgraph_ws | Watts-Strogatz model |
| ring_lattice | Ring lattice graph |
| round_to_seq | Takes a numeric vector and maps it into a finite length... |
| select_egoalter | Calculate the number of adoption changes between ego and... |
| struct_equiv | Structural Equivalence |
| struct_test | Structure dependence test |
| summary.diffnet | Summary of diffnet objects |
| survey_to_diffnet | Convert survey-like data and edgelists to a 'diffnet' object |
| threshold | Retrive threshold levels from the exposure matrix |
| toa_diff | Difference in Time of Adoption (TOA) between individuals |
| toa_mat | Time of adoption matrix |
| transformGraphBy | Apply a function to a graph considering non-diagonal... |
| vertex_covariate_compare | Comparisons at dyadic level |
| vertex_covariate_dist | Computes covariate distance between connected vertices |
| weighted_var | Computes weighted variance |
