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Software . 2014
License: https://www.gnu.org/licenses/gpl-3.0-standalone.html
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Software . 2014
License: http://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
Data sources: ZENODO
Claim

hSDM CRAN release v1.4 for hierarchical Bayesian species distribution models

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Jul 2014Publisher:Zenodo
Authors: Ghislain Vieilledent; Cory Merow; Jérôme Guélat; Andrew M. Latimer; Marc Kéry; Alan E. Gelfand; Adam M. Wilson; +2 Authors
Code repository: https://github.com/ghislainv/hSDM/tree/v1.4

doi: 10.5281/zenodo.48470

hSDM CRAN release v1.4 for hierarchical Bayesian species distribution models

Abstract

hSDM v1.4 for hierarchical Bayesian species distribution models Changes This release has been prepared for the ISEC 2014 conference in Montpellier. Install this release From CRAN or using the devtools::install_github() function in R: library(devtools) install_github(repo="ghislainv/hSDM",ref="v1.4")

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Keywords

abundance, MCMC, species distribution model, computational speed, imperfect detection, spatial autocorrelation, count data, C code, hierarchical Bayesian model, hidden variable, presence/absence data, Gibbs sampler, probability of presence, Metropolis algorithm

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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