netcmc-package: An R Package for Bayesian Social Network Modelling
In netcmc: Spatio-Network Generalised Linear Mixed Models for Areal Unit and Network Data
netcmc-package R Documentation
An R Package for Bayesian Social Network Modelling
Description
Implements a class of univariate and multivariate spatio-network generalised linear mixed
models, with inference in a Bayesian setting using Markov chain
Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, and Poisson.
Details
Package: netcmc
Type: Package
Version: 1.0
Date: 2022-01-24
License: GPL (>= 2)
Author(s)
George Gerogiannis <g.gerogiannis.1@research.gla.ac.uk>
Examples
## See the examples in the function specific help files.
netcmc documentation built on Nov. 10, 2022, 5:11 p.m.
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| netcmc-package | R Documentation |
An R Package for Bayesian Social Network Modelling
Description
Implements a class of univariate and multivariate spatio-network generalised linear mixed models, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, and Poisson.
Details
| Package: | netcmc |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2022-01-24 |
| License: | GPL (>= 2) |
Author(s)
George Gerogiannis <g.gerogiannis.1@research.gla.ac.uk>
Examples
## See the examples in the function specific help files.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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