getMembershipMatrix

A function that generates a data.frame that is the membership matrix of the network given individual IDs and the alters that they have nominated.

Implements a class of univariate and multivariate spatio-network generalised linear mixed models for areal unit and network data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, or Poisson. Spatial autocorrelation is modelled by a set of random effects that are assigned a conditional autoregressive (CAR) prior distribution following the Leroux model (Leroux et al. (2000) <doi:10.1007/978-1-4612-1284-3_4>). Network structures are modelled by a set of random effects that reflect a multiple membership structure (Browne et al. (2001) <doi:10.1177/1471082X0100100202>).

George Gerogiannis

netcmc

Spatio-Network Generalised Linear Mixed Models for Areal Unit
and Network Data

getMembershipMatrix function

<dl> <dt>individualID</dt>
<dd>A data.frame which stores the IDs of the individuals that nominate alters.</dd> <dt>alters</dt>
<dd>A data.frame which stores the alters of a given individual.</dd></dl>

Arguments

Author

A function that generates a data.frame that is the membership matrix of the network. — getMembershipMatrix

<dl>

 <dt>individualID</dt>
<dd>A data.frame which stores the IDs of the individuals that nominate alters.</dd>

 <dt>alters</dt>
<dd>A data.frame which stores the alters of a given individual.</dd>

</dl>

getMembershipMatrix: A function that generates a data.frame that is the membership matrix of the network.

Description

Usage

Value

Arguments

Author

Examples