https://github.com/emitanaka/boral

boral: Bayesian Ordination and Regression AnaLysis
https://github.com/emitanaka/boral

r

Last synced: about 1 month ago
JSON representation

boral: Bayesian Ordination and Regression AnaLysis

• Host: GitHub
• URL: https://github.com/emitanaka/boral
• Owner: emitanaka
• License: gpl-3.0
• Created: 2019-06-08T01:22:19.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2019-08-11T03:46:14.000Z (almost 6 years ago)
• Last Synced: 2025-04-02T02:35:46.393Z (about 2 months ago)
• Topics: r
• Language: R
• Homepage: https://cran.r-project.org/web/packages/boral/index.html
• Size: 417 KB
• Stars: 2
• Watchers: 0
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# boral: Bayesian Ordination and Regression AnaLysis

[![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)

[![CRAN status](https://www.r-pkg.org/badges/version/boral)](https://cran.r-project.org/package=boral)

The `boral` R-package fits Bayesian approaches for analyzing multivariate data in ecology. Estimation is performed using Markov Chain Monte Carlo (MCMC) methods via Three. JAGS types of models may be fitted: 

1) With explanatory variables only, boral fits independent column Generalized Linear Models (GLMs) to each column of the response matrix; 

2) With latent variables only, boral fits a purely latent variable model for model-based unconstrained ordination; 

3) With explanatory and latent variables, boral fits correlated column GLMs with latent variables to account for any residual correlation between the columns of the response matrix. 

## Installation

You can install the released version of boral from [CRAN](https://CRAN.R-project.org) with:

``` r

install.packages("boral")

```