netdiffuseR (version 1.22.6)

diag_expand: Creates a square matrix suitable for spatial statistics models.

Description

Creates a square matrix suitable for spatial statistics models.

Usage

diag_expand(...)
# S3 method for list
diag_expand(graph, self = is_self(graph), valued = is_valued(graph), ...)
# S3 method for diffnet
diag_expand(graph, self = is_self(graph), valued = is_valued(graph), ...)
# S3 method for matrix
diag_expand(graph, nper, self = is_self(graph), valued = is_valued(graph), ...)
# S3 method for array
diag_expand(graph, self = is_self(graph), valued = is_valued(graph), ...)
# S3 method for dgCMatrix
diag_expand(graph, nper, self = is_self(graph), valued = is_valued(graph), ...)

Value

A square matrix of class dgCMatrix of size (nnode(g)*nper)^2

Arguments

...

Further arguments to be passed to the method.

graph

Any class of accepted graph format (see netdiffuseR-graphs).

self

Logical scalar. When TRUE autolinks (loops, self edges) are allowed (see details).

valued

Logical scalar. When TRUE weights will be considered. Otherwise non-zero values will be replaced by ones.

nper

Integer scalar. Number of time periods of the graph.

Examples

# Simple example ------------------------------------------------------------
set.seed(23)
g <- rgraph_er(n=10, p=.5, t=2,undirected=TRUE)

# What we've done: A list with 2 bernoulli graphs
g

# Expanding to a 20*20 matrix with structural zeros on the diagonal
# and on cell 'off' adjacency matrix
diag_expand(g)