Package: hilldiv 1.5.1

Antton Alberdi

hilldiv: Integral Analysis of Diversity Based on Hill Numbers

Tools for analysing, comparing, visualising and partitioning diversity based on Hill numbers. 'hilldiv' is an R package that provides a set of functions to assist analysis of diversity for diet reconstruction, microbial community profiling or more general ecosystem characterisation analyses based on Hill numbers, using OTU/ASV tables and associated phylogenetic trees as inputs. The package includes functions for (phylo)diversity measurement, (phylo)diversity profile plotting, (phylo)diversity comparison between samples and groups, (phylo)diversity partitioning and (dis)similarity measurement. All of these grounded in abundance-based and incidence-based Hill numbers. The statistical framework developed around Hill numbers encompasses many of the most broadly employed diversity (e.g. richness, Shannon index, Simpson index), phylogenetic diversity (e.g. Faith's PD, Allen's H, Rao's quadratic entropy) and dissimilarity (e.g. Sorensen index, Unifrac distances) metrics. This enables the most common analyses of diversity to be performed while grounded in a single statistical framework. The methods are described in Jost et al. (2007) <doi:10.1890/06-1736.1>, Chao et al. (2010) <doi:10.1098/rstb.2010.0272> and Chiu et al. (2014) <doi:10.1890/12-0960.1>; and reviewed in the framework of molecularly characterised biological systems in Alberdi & Gilbert (2019) <doi:10.1111/1755-0998.13014>.

Authors:Antton Alberdi [aut, cre]

hilldiv_1.5.1.tar.gz
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hilldiv.pdf |hilldiv.html
hilldiv/json (API)

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

Bug tracker:https://github.com/anttonalberdi/hilldiv/issues

Datasets:

On CRAN:

Conda:

archivedpackagesr-universe

1.70 score 5 stars 292 downloads 1 mentions 24 exports 147 dependencies

Last updated 3 days agofrom:1b2716eb2c (on package/hilldiv). Checks:1 OK, 8 ERROR. Indexed: no.

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Doc / VignettesOKMar 31 2025
R-4.5-winERRORMar 31 2025
R-4.5-macERRORMar 31 2025
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Exports:alpha_divbeta_discopy_filtCqNdepth_covdepth_filtdiv_partdiv_profilediv_profile_plotdiv_testdiv_test_plotgamma_divhill_divindex_divis.nestedmatch_datapair_dispair_dis_plotSqNto.incidencetree_depthtssUqNVqN

Dependencies:abindapebackportsbase64encbootbroombslibcachemcarcarDatacheckmatecliclusterclusterGenerationcodacodetoolscolorspacecombinatcorpcorcorrplotcowplotcpp11data.tableDEoptimDerivdeSolvedigestdoBydoParalleldplyrdunn.testevaluateexpmfansifarverfastmapfastmatchfdrtoolfontawesomeforeachforeignFormulafsFSAgeigergenericsggplot2ggpubrggrepelggsciggsignifglassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobanditeratorsjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4lmtestmagrittrmapsMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamnormtmodelrmunsellmvtnormncbitnlmenloptrnnetnumDerivoptimParallelpbapplypbivnormpbkrtestpermutephangornphytoolspillarpkgconfigplotrixplyrpngpolynompsychpurrrqgraphquadprogquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasreshape2rlangrmarkdownrpartrstatixrstudioapisassscalesscatterplot3dSparseMstringistringrsubplexsurvivaltibbletidyrtidyselecttinytexutf8vctrsveganviridisviridisLitewithrxfunyamlzoo