# BLSM

Bayesian Latent Space Model

Provides a Bayesian latent space model for complex networks, either weighted or unweighted. Given an observed input graph, the estimates for the latent coordinates of the nodes are obtained through a Bayesian MCMC algorithm. The overall likelihood of the graph depends on a fundamental probability equation, which is defined so that ties are more likely to exist between nodes whose latent space coordinates are close. The package is mainly based on the model by Hoff, Raftery and Handcock (2002)

- Version0.1.0
- R version≥ 3.3.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release04/26/2018

## Documentation

## Team

### Alberto Donizetti

### Francesca Ieva

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## Dependencies

- Depends1 package
- Imports1 package
- Suggests1 package
- Linking To2 packages
- Reverse Imports1 package