Package: sharx 1.0-6

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 [cre, aut]

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sharx.pdf |sharx.html✨
sharx/json (API)

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

Peer review:

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

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:
  • sardata - Data Sets for the Study of the Species-Area Relationship

On CRAN:

4 exports 1 stars 0.84 score 59 dependencies 4 scripts 220 downloads

Last updated 4 months agofrom:27f78988b6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-winOKAug 19 2024
R-4.5-linuxOKAug 19 2024
R-4.4-winOKAug 19 2024
R-4.4-macOKAug 19 2024
R-4.3-winOKAug 19 2024
R-4.3-macOKAug 19 2024

Exports:hsarxshowsiesieplot

Dependencies:abindbackportsBHbootcallrcheckmateclicodacolorspacedclonedcmledescdistributionalfansifarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR2OpenBUGSR6RColorBrewerRcppRcppEigenRcppParallelrjagsrlangrstanscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr