Package: sharx 1.0-7

sharx: Models and Data Sets for the Study of Species-Area Relationships

Hierarchical models for the analysis of species-area relationships (SARs) by combining several data sets and covariates; with a global data set combining individual SAR studies; as described in Solymos and Lele (2012) <doi:10.1111/j.1466-8238.2011.00655.x>.

Authors:Peter Solymos [aut, cre]

sharx_1.0-7.tar.gz
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sharx_1.0-7.tgz(r-4.6-any)sharx_1.0-7.tgz(r-4.5-any)
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sharx_1.0-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
sharx/json (API)

# Install 'sharx' in R:
install.packages('sharx', repos = c('https://psolymos.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/psolymos/sharx/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3
Datasets:
  • sardata - Data Sets for the Study of the Species-Area Relationship

On CRAN:

Conda:

jagscpp

2.70 score 1 stars 4 scripts 226 downloads 4 exports 55 dependencies

Last updated from:fbb35b9212. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK222
source / vignettesOK254
linux-release-x86_64OK222
macos-release-arm64OK120
macos-oldrel-arm64OK136
windows-develOK193
windows-releaseOK187
windows-oldrelOK194
wasm-releaseOK139

Exports:hsarxshowsiesieplot

Dependencies:abindbackportsBHbootcallrcheckmateclicodacpp11dclonedcmledescdistributionalfarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMatrixmatrixStatsnumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR2OpenBUGSR6RColorBrewerRcppRcppEigenRcppParallelrjagsrlangrstanS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr