Changes in version 0.5-4.9000 Bug correction - species distributions made of a single individuals were not recognized correctly as abundance vectors, preventing the estimation of their diversity at a level. Changes in version 0.5-4 (2026-05-06) Bug correction - metacommunity() ignored argument name. - div_richness(..., as_numeric = TRUE) returned a value but did not print it. Features - coverage.abundances() now accepts argument as_numeric. Changes in version 0.5-3 (2025-08-27) Bug correction - species_distribution() raised an error when input was a vector of factors. Changes in version 0.5-2 (2025-02-09) Features - Generalized Simpson's entropy: ent_gen_simpson() and div_gen_simpson() - Faith's PD: div_pd() - Allen at al's phylogenetic entropy: ent_allen() - Spatially explicit Simpson's entropy: ent_sp_simpson() and ent_sp_simpsonEnvelope() - Spatially explicit random communities: rspcommunity() - species_distribution methods for wmppp and character objects. - values of abundances are no longer limited to .Machine$integer.max. External changes - Replaced Geom*$default_aes by their values for compatibility with ggplot2 3.6.0 (PR #2 by @teunbrand) Changes in version 0.4-4 (2024-11-06) Features - Hurlbert's diversity: ent_hurlbert() and div_hurlbert(). Changes in version 0.3-16 Features - Similarity and ordinariness of species. - Similarity-based diversity: ent_similarity() and div_similarity() - Rao's quadratic entropy: ent_rao(). - paracou_6_wmppp dataset. Changes in version 0.2-5 Features - Data formats: - phylo_divent (phylogenetic tree): as_phylo_divent() - Phylogenetic diversity: ent_phylo() and div_phylo() - species names must be valid names Changes in version 0.1-24 - First Version. Features - Data formats: - species distribution: species_distribution() - metacommunity: metacommunity() - Sample coverage: coverage() - Richness: div_richness() - Shannon's, Simpson's and Tsallis's entropies: ent_shannon(), ent_simpson(), ent_tsallis() - Hill numbers: div_hill() - Diversity accumulation: accum_hill() - Diversity profiles: profile_hill() - Diversity partitioning: profile_hill()