Package: canaper 1.0.1.9000

Joel H. Nitta

canaper: Categorical Analysis of Neo- And Paleo-Endemism

Provides functions to analyze the spatial distribution of biodiversity, in particular categorical analysis of neo- and paleo-endemism (CANAPE) as described in Mishler et al (2014) <doi:10.1038/ncomms5473>. 'canaper' conducts statistical tests to determine the types of endemism that occur in a study area while accounting for the evolutionary relationships of species.

Authors:Joel H. Nitta [aut, cre], Shawn W. Laffan [ctb, dtc], Brent D. Mishler [ctb, dtc], Wataru Iwasaki [ctb], Klaus Schliep [rev]

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canaper.pdf |canaper.html
canaper/json (API)
NEWS

# Install 'canaper' in R:
install.packages('canaper', repos = c('https://packages.ropensci.org', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/ropensci/canaper/issues

Datasets:

On CRAN:

biodiversitycanape

6 exports 7 stars 5.36 score 77 dependencies 22 scripts 228 downloads

Last updated 1 years agofrom:ea3c4cb9f3 (on main). Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 28 2024
R-4.5-winOKSep 28 2024
R-4.5-linuxOKSep 28 2024
R-4.4-winOKSep 28 2024
R-4.4-macOKSep 28 2024
R-4.3-winOKSep 28 2024
R-4.3-macOKSep 28 2024

Exports:cpr_classify_endemcpr_classify_signifcpr_iter_simcpr_make_palcpr_rand_commcpr_rand_test

Dependencies:abindapeassertrassertthatbetapartclassclassIntcliclusterclustMixTypecodetoolscolorspacecombinatcpp11DBIdigestdoSNOWdplyre1071fansifastmatchforeachfuturefuture.applygenericsgeometryglobalsglueigraphiteratorsitertoolsKernSmoothlatticelifecyclelinproglistenvlpSolvemagicmagrittrmaptpxMASSMatrixmgcvminpack.lmnlmeparallellypermutephangornphyloregionpicantepillarpkgconfigpredictsprogressrproxypurrrquadprogR6rcddRColorBrewerRcppRcppProgressrlangs2sfslamsmoothrsnowterratibbletidyselectunitsutf8vctrsveganwithrwk

CANAPE example

Rendered fromcanape.Rmdusingknitr::rmarkdownon Sep 28 2024.

Last update: 2023-04-05
Started: 2021-06-27

How many randomizations?

Rendered fromhow-many-rand.Rmdusingknitr::rmarkdownon Sep 28 2024.

Last update: 2023-04-05
Started: 2021-10-18

Parallel computing

Rendered fromparallel.Rmdusingknitr::rmarkdownon Sep 28 2024.

Last update: 2023-04-05
Started: 2021-10-20