Man pages for wdnet
Weighted and Directed Networks

adj_to_edgelistConverts an adjacency matrix to edgelist and edgeweight using...
adj_to_wdnetCreates a 'wdnet' object using an adjacency matrix
assortcoefCompute the assortativity coefficient(s) for a network.
centralityCentrality measures
closeness_cCloseness centrality
clustcoefDirected clustering coefficient
compile_pref_funcCompile preference functions via 'RcppXPtrUtils'.
create_wdnetCreates a 'wdnet' object from input data.
cvxr_controlParameters passed to CVXR::solve().
degree_cDegree-based centrality
dprewireDegree preserving rewiring.
dprewire_directedDegree preserving rewiring for directed networks
dprewire_directed_cppDegree preserving rewiring process for directed networks.
dprewire.rangeRange of assortativity coefficients.
dprewire_undirectedDegree preserving rewiring for undirected networks
dprewire_undirected_cppDegree preserving rewiring process for undirected networks.
dw_assortCompute the assortativity coefficient of a weighted and...
dw_feature_assortFeature based assortativity coefficient
edgelist_to_adjConvert edgelist and edgeweight to adjacency matrix.
edgelist_to_wdnetCreates a 'wdnet' object using 'edgelist'.
fill_weight_cppFill edgeweight into the adjacency matrix. Defined for...
find_node_cppFill missing nodes in the node sequence. Defined for...
find_node_undirected_cppFill missing values in node sequence. Defined for...
get_constrGet the constraints for the optimization problem. This...
get_distGet the node-level joint distributions and some empirical...
get_eta_directedCompute edge-level distributions for directed networks with...
get_eta_undirectedCompute edge-level distribution for undirected networks with...
get_valuesGet the value of an object from the optimization problem....
igraph_to_wdnetConverts an 'igraph' object to a 'wdnet' object
is_rpacontrolChecks whether the input is a 'rpacontrol' object
is_wdnetChecks if the input is a 'wdnet' object
node_strength_cppAggregate edgeweight into nodes' strength.
plot.wdnetPlots the input network
plus-.rpacontrolAdd components to the control list
print_control_detailsPrints 'rpacontrol' in terminal
print_control_edgeweightPrints 'rpa_control_edgeweight()' in terminal
print_control_newedgePrints 'rpa_control_newedge()' in terminal
print_control_preferencePrints 'rpa_control_preference()' in terminal
print_control_reciprocalPrints 'rpa_control_reciprocal()' in terminal
print_control_scenarioPrints 'rpa_control_scenario()' in terminal
print.rpacontrolPrints 'rpacontrol' objects
print.wdnetPrints the input network
rpacontrolrpacontrol: Controls the Preferential Attachment (PA) Network...
rpa_control_defaultDefault controls for 'rpanet'
rpa_control_edgeweightControl weight of new edges. Defined for 'rpanet'.
rpa_control_newedgeControl new edges in each step. Defined for 'rpanet'.
rpa_control_preferenceSet preference function(s). Defined for 'rpanet'.
rpa_control_reciprocalControl reciprocal edges. Defined for 'rpanet'.
rpa_control_scenarioControl edge scenarios. Defined for 'rpanet'.
rpanetGenerate PA networks.
rpanet_bag_cppPreferential attachment algorithm for simple situations,...
rpanet_binary_directedPreferential attachment network generation.
rpanet_binary_undirected_cppPreferential attachment network generation.
rpanet.internalInternal functions for generating PA networks
rpanet_linear_directed_cppPreferential attachment network generation.
rpanet_linear_undirected_cppPreferential attachment network generation.
sample_node_cppUniformly draw a node from existing nodes for each time step....
wdnet-packagewdnet: Weighted and Directed Networks
wdnet_to_igraphConverts a 'wdnet' object to an 'igraph' object
wprWeighted PageRank centrality
wdnet documentation built on May 29, 2024, 9:32 a.m.