Package: RInSp 1.2.5

RInSp: R Individual Specialization

Functions to calculate several ecological indices of individual and population niche width (Araujo's E, clustering and pairwise similarity among individuals, IS, Petraitis' W, and Roughgarden's WIC/TNW) to assess individual specialization based on data of resource use. Resource use can be quantified by counts of categories, measures of mass or length, or proportions. Monte Carlo resampling procedures are available for hypothesis testing against multinomial null models. Details are provided in Zaccarelli et al. (2013) <doi:10.1111/2041-210X.12079> and associated references.

Authors:Dr. Nicola Zaccarelli [aut, cre], Giorgio Mancinelli [aut], Dan Bolnick [ctb]

RInSp_1.2.5.tar.gz
RInSp_1.2.5.zip(r-4.5)RInSp_1.2.5.zip(r-4.4)RInSp_1.2.5.zip(r-4.3)
RInSp_1.2.5.tgz(r-4.4-x86_64)RInSp_1.2.5.tgz(r-4.4-arm64)RInSp_1.2.5.tgz(r-4.3-x86_64)RInSp_1.2.5.tgz(r-4.3-arm64)
RInSp_1.2.5.tar.gz(r-4.5-noble)RInSp_1.2.5.tar.gz(r-4.4-noble)
RInSp_1.2.5.tgz(r-4.4-emscripten)RInSp_1.2.5.tgz(r-4.3-emscripten)
RInSp.pdf |RInSp.html
RInSp/json (API)

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

Peer review:

Datasets:
  • Stickleback - Example of data from threespine Stickleback gut contents
  • Trout - Example of continuous data from fish prey lengths of brown trout

On CRAN:

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

2.03 score 27 scripts 229 downloads 4 mentions 15 exports 0 dependencies

Last updated 2 years agofrom:eaec548c11. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-win-x86_64OKOct 13 2024
R-4.5-linux-x86_64OKOct 13 2024
R-4.4-win-x86_64OKOct 13 2024
R-4.4-mac-x86_64OKOct 13 2024
R-4.4-mac-aarch64OKOct 13 2024
R-4.3-win-x86_64OKOct 13 2024
R-4.3-mac-x86_64OKOct 13 2024
R-4.3-mac-aarch64OKOct 13 2024

Exports:EindexEmcHier2Limport.RInSplike.WiMCp.RInSpNODFNull.Hp.RInSpoverlappop.dietPSicalcRInSp2vegansumMC.RInSpWTcMCWTdMC

Dependencies: