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---
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/README-",
out.width = "70%"
)
```
# vlmcmethods
<!-- badges: start -->
<!-- badges: end -->
Methods for Variable-Length Markov Chain models...
## Installation
Install the development version from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("Freguglia/vlmcmethods")
```
## Example
```{r example}
library(vlmcmethods)
# Example dataset format
str(binchain)
# Fitting VLMC via context algorithm
fit <- vlmcfit(binchain, Hmax = 8, cutoff = 10)
fit
summary(fit)
# Plotting trees
plot(fit)
# Obtain a tbl_graph object from the fitted tree (string)
graph <- tree_graph(fit)
graph
# You can use this object within the 'ggraph' package to create
# custom visualizations
```