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boral  

Bayesian Ordination and Regression AnaLysis
View on CRAN: Click here


Download and install boral package within the R console
Install from CRAN:
install.packages("boral")

Install from Github:
library("remotes")
install_github("cran/boral")

Install by package version:
library("remotes")
install_version("boral", "2.0.2")



Attach the package and use:
library("boral")
Maintained by
Francis K.C. Hui
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-25
Latest Update: 2021-03-12
Description:
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.
How to cite:
Francis K.C. Hui (2014). boral: Bayesian Ordination and Regression AnaLysis. R package version 2.0.2, https://cran.r-project.org/web/packages/boral. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.4 (2014-08-25 16:03), 0.5 (2014-09-18 09:56), 0.6 (2014-12-13 11:19), 0.7 (2015-07-10 20:32), 0.8 (2015-07-22 16:15), 0.9.1 (2015-09-25 13:32), 0.9 (2015-08-22 11:05), 1.0.1 (2016-07-26 02:16), 1.0 (2016-06-17 21:20), 1.1.1 (2016-10-10 13:51), 1.1 (2016-09-26 11:42), 1.2 (2017-01-02 22:22), 1.3.1 (2017-04-18 07:29), 1.3 (2017-04-15 15:52), 1.4 (2017-09-26 01:00), 1.5 (2018-01-08 11:34), 1.6.1 (2018-05-16 05:39), 1.6 (2018-05-06 08:45), 1.7 (2018-10-21 10:10), 1.8.1 (2020-06-05 06:20), 1.8 (2020-01-29 00:10), 1.9 (2020-07-17 11:20), 2.0.1 (2024-03-19 23:10), 2.0 (2021-03-12 10:50)
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