sim.dnetwork: Simulation of the distribution of the network for Breza et...

In ahoundetoungan/PartialNetwork: Estimating Peer Effects Using Partial Network Data

Simulation of the distribution of the network for Breza et al. (2020)

Description

Compute the distribution of the network following McCormick and Zheng (2015) and Breza et al. (2020).

Usage

sim.dnetwork(nu, d, zeta, z)

Arguments

nu	is the vector of gregariousness.
d	is the vector of degrees.
zeta	is a scale parameter that captures the influence of the latent positions on the link probabilities.
z	is a matrix where each row is a spherical coordinate.

Value

a matrix of linking probabilities.

See Also

sim.network

Examples

N       <- 500 
zeta    <- 1

# Generate the spherical coordinates
z       <- rvMF(N, c(0, 0, 0))

# Genetate the gregariousness
nu      <- rnorm(N, -1.35, 0.37)

# Generate degrees
d       <- runif(N, 0, 45)

dist    <- sim.dnetwork(nu, d, zeta, z)

ahoundetoungan/PartialNetwork documentation built on Feb. 12, 2025, 3:12 p.m.