Functions to compute fuzzy versions of species occurrence patterns based on presence-absence data (including inverse distance interpolation, trend surface analysis, and prevalence-independent favourability obtained from probability of presence), as well as pair-wise fuzzy similarity (based on fuzzy logic versions of commonly used similarity indices) among those occurrence patterns. Includes also functions for model consensus and comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for data preparation, such as obtaining unique abbreviations of species names, defining the background region, cleaning and gridding (thinning) point occurrence data onto raster maps, selecting among (pseudo)absences to address survey bias, converting species lists (long format) to presence-absence tables (wide format), transposing part of a data frame, selecting relevant variables for models, assessing the false discovery rate, or analysing and dealing with multicollinearity. Initially described in Barbosa (2015) <doi:10.1111/2041-210X.12372>.
Version: 4.33 Depends: R (≥ 2.10) Imports: graphics, methods, modEvA (> 3.9), stats, stringi, utils Suggests: aod, geodist, parallel, phylolm, raster, terra, tools Published: 2025-03-21 DOI: 10.32614/CRAN.package.fuzzySim Author: A. Marcia Barbosa [aut], Alba Estrada [ctb], Paul Melloy [ctb], Jose Carlos Guerrero [fnd], A. Marcia Barbosa [cre] Maintainer: A. Marcia Barbosa <ana.marcia.barbosa at gmail.com> License: GPL-3 URL: http://fuzzysim.r-forge.r-project.org/ NeedsCompilation: no Citation: fuzzySim citation info Materials: NEWS CRAN checks: fuzzySim results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=fuzzySim to link to this page.
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