# Introduction

This package provides an R implementation of the netinf algorithm created by @gomez2010inferring (see here for more information and the original C++ implementation). Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.

# Installation

The package can be installed from CRAN:

install.packages("NetworkInference")

The latest development version can be installed from github:

#install.packages(devtools)
devtools::install_github('desmarais-lab/NetworkInference')

# Quick start guide

To get started, get your data into the cascades format required by the netinf function:

library(NetworkInference)

# Simulate random cascade data
df <- simulate_rnd_cascades(50, n_node = 20)

# Cast data into cascades object
## From long format

## From wide format
df_matrix <- as.matrix(cascades) ### Create example matrix