Package index • CVN

All functions

CVN-package: Covariate-varying Networks

CVN(): Estimating a Covariate-Varying Network (CVN)

combine_cvn_interpolated(): Combine CVN object with interpolated CVN object

create_edges_visnetwork(): Create a data.frame for the Edges for visNetwork

create_nodes_visnetwork(): Nodes for the visNetwork package

create_weight_matrix(): Different Weight Matrices

cvn_edge_summary(): Edge Overview

determine_information_criterion_cvn(): Information Criteria for a cvn object

extract_cvn(): Extract CVN

find_core_graph(): The Core Graph

find_unique_edges(): Unique Edges

genlassoRcpp(): Generalized LASSO

grid: Data for a grid of graphs (3 x 3)

hamming_distance(): Structural Hamming Distance for a cvn Object

hamming_distance_adj_matrices(): Structural Hamming Distance

hd_weight_matrix(): Heatmap Plot of the Weight Matrix

interpolate(): Interpolation of a Graph

matrix_A_inner_ADMM(): Determine matrix \(A\) for inner-ADMM for the \(Z\)-update step

plot(<cvn>): Plot Function for CVN Object Class

plot_hamming_distances(): Heat Map of the Distances between Graphs

plot_hamming_distances_cvn(): Heatmaps for a CVN

plot_information_criterion(): Heat Map of an Information Criterion (AIC or BIC)

plot_weight_matrix(): Plot weight matrix as a grid

print(<cvn>): Print CVN

relative_difference_precision_matrices(): The Relative Difference between two Precision Matrices

set_attributes_to_edges_visnetwork(): Add Attributes to Subset of Edges for visNetwork

strip_cvn(): Strip CVN

updateZRcpp(): The \(Z\)-update Step

visnetwork(): A visNetwork plot

visnetwork_cvn(): All visNetwork plots for a CVN object