Hierarchical Modelling of Species Communities (HMSC) is a model-based approach for analyzing community ecological data. This package implements it in the Bayesian framework with Gibbs Markov chain Monte Carlo (MCMC) sampling.
Version: | 3.0-6 |
Depends: | R (≥ 3.0.2), coda |
Imports: | abind, ape, BayesLogit, fields, FNN, ggplot2, MASS, Matrix, MCMCpack, methods, mvtnorm, nnet, rlang, parallel, pdist, pROC, statmod, truncnorm |
Suggests: | R.rsp, testthat, corrplot |
Published: | 2020-03-19 |
Author: | Gleb Tikhonov [aut],
Otso Ovaskainen |
Maintainer: | Otso Ovaskainen <otso.ovaskainen at helsinki.fi> |
BugReports: | https://github.com/hmsc-r/HMSC/issues |
License: | GPL-3 | file LICENSE |
URL: | https://www.helsinki.fi/en/researchgroups/statistical-ecology/hmsc |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | Hmsc results |
Reference manual: | Hmsc.pdf |
Vignettes: |
Getting started with HMSC-R: univariate models Getting started with HMSC-R: low-dimensional multivariate models Getting started with HMSC-R: high-dimensional multivariate models Getting started with HMSC-R: spatial models Testing the performance of Hmsc with simulated data |
Package source: | Hmsc_3.0-6.tar.gz |
Windows binaries: | r-devel: Hmsc_3.0-6.zip, r-release: Hmsc_3.0-6.zip, r-oldrel: Hmsc_3.0-6.zip |
macOS binaries: | r-release: Hmsc_3.0-6.tgz, r-oldrel: Hmsc_3.0-6.tgz |
Old sources: | Hmsc archive |
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