Package: idar 1.7

Marcelino de la Cruz

idar: Individual Diversity-Area Relationships

Computes and tests individual (species, phylogenetic and functional) diversity-area relationships, i.e., how species-, phylogenetic- and functional-diversity varies with spatial scale around the individuals of some species in a community. See applications of these methods in Wiegand et al. (2007) <doi:10.1073/pnas.0705621104> or Chacon-Labella et al. (2016) <doi:10.1007/s00442-016-3547-z>.

Authors:Marcelino de la Cruz [aut, cre], Etienne Laliberté [ctb]

idar_1.7.tar.gz
idar_1.7.tar.gz(r-4.7-arm64)idar_1.7.tar.gz(r-4.7-x86_64)idar_1.7.tar.gz(r-4.6-arm64)idar_1.7.tar.gz(r-4.6-x86_64)
idar_1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
idar/json (API)

# Install 'idar' in R:
install.packages('idar', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dummy - Dummy Functional Trait Dataset
  • SF - San Francisco forest plot.
  • SFphylotree - San Francisco forest plot.
  • SFtraits - San Francisco forest plot.
  • tussock - Functional Composition of Short-Tussock Grasslands

On CRAN:

Conda:

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

1.04 score 11 scripts 471 downloads 24 exports 32 dependencies

Last updated from:b34bc44ff1. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK154
linux-devel-x86_64OK164
source / vignettesOK184
linux-release-arm64OK156
linux-release-x86_64OK151
wasm-releaseOK104

Exports:checktraitschecktreecontroldisenvelope4idarfdispgowdisifdaripscaripsearipsimipsimlistipsraripsvarisarLF.goflocaldarmidarmitablemultifocalsimulatorpisarplot.pidarproportion.idarrisarsimulador2

Dependencies:abindade4apeclusterdeldirdigestgoftestlatticeMASSMatrixmgcvnlmepermutepicantepixmappolyclipRcppRcppArmadillorpartspspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensorvegan