README.Rmd

---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/",
  out.width = "100%"
)
```

# xtranat

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[![CRAN status](https://www.r-pkg.org/badges/version/xtranat)](https://CRAN.R-project.org/package=xtranat)
[![R-CMD-check](https://github.com/r-lib/usethis/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/fdepaolis/xtranat/actions/workflows/R-CMD-check.yaml)
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# xtranat <img src="man/figures/logo.png" align="right" height="139" />


The functions in the 'xtranat' package are based on random walks. They compute *Counting Betweenness* and *Random Walk Centrality*. It also computes the normalized values of each function.

## Installation

You can install the development version of xtranat from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("fdepaolis/xtranat")
```

## Example

Load the library and run the cbet() and rwc() functions:

```{r example}
library(xtranat)
## Main functions
cbet(exmpl_matrix)
rwc(exmpl_matrix)

## Normalized values (maximum value=1.0; minimum value=0.0)
cbet_norm(exmpl_matrix)
rwc_norm(exmpl_matrix)
```