[aut, cre],
Jari Oksanen [aut],
Melinda de Jonge [aut],
Oystein Opedal [aut],
Tad Dallas [aut]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 (Tikhonov et al. (2020) <doi:10.1111/2041-210X.13345>).
| Version: | 3.0-9 |
| Depends: | R (≥ 3.0.2), coda |
| Imports: | abind, ape, BayesLogit, fields, FNN, ggplot2, MASS, Matrix, MCMCpack, methods, nnet, rlang, parallel, pROC, sp, statmod, truncnorm |
| Suggests: | R.rsp, testthat, corrplot |
| Published: | 2020-10-29 |
| Author: | Gleb Tikhonov [aut],
Otso Ovaskainen
[aut, cre],
Jari Oksanen [aut],
Melinda de Jonge [aut],
Oystein Opedal [aut],
Tad Dallas [aut] |
| 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_3.0-9.tar.gz |
| Windows binaries: | r-devel: Hmsc_3.0-9.zip, r-release: Hmsc_3.0-9.zip, r-oldrel: Hmsc_3.0-9.zip |
| macOS binaries: | r-release: Hmsc_3.0-9.tgz, r-oldrel: Hmsc_3.0-9.tgz |
| Old sources: | Hmsc archive |
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