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:
sharx_1.0-6.tar.gz
sharx_1.0-6.zip(r-4.5)sharx_1.0-6.zip(r-4.4)sharx_1.0-6.zip(r-4.3)
sharx_1.0-6.tgz(r-4.4-any)sharx_1.0-6.tgz(r-4.3-any)
sharx_1.0-6.tar.gz(r-4.5-noble)sharx_1.0-6.tar.gz(r-4.4-noble)
sharx_1.0-6.tgz(r-4.4-emscripten)sharx_1.0-6.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/psolymos/sharx/issues
- sardata - Data Sets for the Study of the Species-Area Relationship
Last updated 4 months agofrom:27f78988b6. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 19 2024 |
R-4.5-win | OK | Aug 19 2024 |
R-4.5-linux | OK | Aug 19 2024 |
R-4.4-win | OK | Aug 19 2024 |
R-4.4-mac | OK | Aug 19 2024 |
R-4.3-win | OK | Aug 19 2024 |
R-4.3-mac | OK | Aug 19 2024 |
Dependencies:abindbackportsBHbootcallrcheckmateclicodacolorspacedclonedcmledescdistributionalfansifarverFormulagenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR2OpenBUGSR6RColorBrewerRcppRcppEigenRcppParallelrjagsrlangrstanscalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Models and Data Sets for the Study of the Species-Area Relationships | sharx-package sharx |
Fit SAR, SARX, HSAR and HSARX models to data | hsarx hsarx-class show,hsarx-method |
Data Sets for the Study of the Species-Area Relationship | sardata |
Small Island Effect (SIE) via Breakpoint Regression | show,sie-method sie sie-class sieplot |