Package: RRgeo 0.0.6

Silvia Castiglione

RRgeo: Species Distribution Modelling for Rare Species

Performs species distribution modeling for rare species with unprecedented accuracy (Mondanaro et al., 2023 <doi:10.1111/2041-210X.14066>) and finds the area of origin of species and past contact between them taking climatic variability in full consideration (Mondanaro et al., 2025 <doi:10.1111/2041-210X.14478>).

Authors:Alessandro Mondanaro [aut], Mirko Di Febbraro [aut], Silvia Castiglione [aut, cre], Carmela Serio [aut], Marina Melchionna [aut], Giorgia Girardi [aut], Pasquale Raia [aut]

RRgeo_0.0.6.tar.gz
RRgeo_0.0.6.tar.gz(r-4.7-any)RRgeo_0.0.6.tar.gz(r-4.6-any)
RRgeo_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RRgeo/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.11 score 16 scripts 556 downloads 6 exports 167 dependencies

Last updated from:db9a1471c0. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK440
source / vignettesOK347
linux-release-x86_64OK440
wasm-releaseOK287

Exports:cal14CENphylo_modelingENphylo_predictioneucop_data_preparationgetENphylo_resultsRRphylogeography

Dependencies:abindade4adehabitatHRadehabitatLTadehabitatMAapebackportsbase64encBHbiomod2bootbroombslibcachemcheckmateclassclassIntcliclusterclusterGenerationcodacodetoolscolorspacecombinatcowplotcpp11data.tableDBIDEoptimDerivdigestdismodoBydoParalleldoSNOWdplyre1071ecodistecospatemmeansestimabilityevaluateexpmfarverfastmapfastmatchFNNfontawesomeforeachforecastforeignFormulafracdifffsfuturefuture.applygbmgenericsggplot2globalsgluegridExtragstatgtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphintervalsisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticeleastcostpathlifecyclelistenvlmtestmagrittrmapsMASSMatrixmatrixStatsmclustmemoisemgcvmimemnormtmodelrmulticoolmvtnormnabornlmennetnumDerivoptimParallelparallellypbapplypermutephangornphylolmphytoolspillarpixmappkgconfigplyrpracmaPresenceAbsencepROCproxypurrrquadprogR6rappdirsrasterRColorBrewerRcppRcppArmadilloRcppEigenreshapereshape2rlangrmarkdownrpartRphyloparsRRphylorstudioapis2S7sassscalesscatterplot3dsfsftimesnowspspacetimestarsstringistringrsurvivalterratibbletidyrtidyselecttimeDatetinytexunitsurcautf8vctrsveganviridisLitewithrwkxfunxtsyamlzoo

Species Distribution Modeling : ENphylo_modeling and ENphylo_prediction
Index | 1. Introduction | 2. Formatting the data | 3. Running ENphylo_modeling | ENphylo_modeling outputs | 4. Running ENphylo_prediction | References
Rendered fromENphylo.Rmdusingknitr::rmarkdown_notangle

Last update: 2025-04-01
Started: 2025-04-01

Introduction to RRgeo
Rendered fromRRgeo_vignette.Rmdusingknitr::rmarkdown_notangle

Last update: 2025-04-01
Started: 2025-04-01

Preparing the data: eucop_data_preparation
Index | 1. Introduction | 2. Background area definition | 3. eucop_data_preparation on Ursus spelaeus walkthrough | a. Load the occurrence of the target species | b. Minimum Convex Polygon and buffer area creation | c. Absence points | eucop_data_preparation outputs | References
Rendered fromPreparing-Data.Rmdusingknitr::rmarkdown_notangle

Last update: 2025-04-01
Started: 2025-04-01

Find the area of origin and the history of past contacts: RRphylogeography
Index | 1. Introduction | 2. Formatting data | 3. Run RRphylogeography | 4. RRphylogeography outputs | References
Rendered fromRRphylogeo.Rmdusingknitr::rmarkdown_notangle

Last update: 2025-04-01
Started: 2025-04-01