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

## Documentation for package ‘netcmc’ version 1.0.2

- DESCRIPTION file.

## Help Pages

netcmc-package | An R Package for Bayesian Social Network Modelling
getAdjacencyMatrix | A function that extracts valuable properties from a raw social network.
getMembershipMatrix | A function that generates a data.frame that is the membership matrix of the network.
getTotalAltersByStatus | A function that generates a data.frame that stores the number of alters with a given level of a factor an individual has.
multiNet | A function that generates samples for a multivariate fixed effects and network model.
multiNetLeroux | A function that generates samples for a multivariate fixed effects, spatial, and network model.
multiNetRand | A function that generates samples for a multivariate fixed effects, grouping, and network model.
netcmc | An R Package for Bayesian Social Network Modelling
plot.netcmc | A function that plots visual MCMC diagnostics of the fitted model.
print.netcmc | A function that gets a summary of the fitted model.
summary.netcmc | A function that gets a summary of the fitted model.
uni | A function that generates samples for a univariate fixed effects model.
uniNet | A function that generates samples for a univariate network model.
uniNetLeroux | A function that generates samples for a univariate network Leroux model.
uniNetRand | A function that generates samples for a univariate network group model.