Computes and decomposes Gini, Bonferroni and Zenga 2007 point and synthetic concentration indexes. Decompositions are intended: by sources, by subpopulations and by sources and subpopulations jointly. References, Zenga M. M.(2007) <doi:10.1400/209575> Zenga M. (2015) <doi:10.1400/246627> Zenga M., Valli I. (2017) <doi:10.26350/999999_000005> Zenga M., Valli I. (2018) <doi:10.26350/999999_000011>.

Performs inference with the lasso in Gaussian Graphical Models. The package consists of wrappers for functions from the 'hdi' package.

It constructs a Consensus Network which identifies the general information of all the layers and Specific Networks for each layer with the information present only in that layer and not in all the others.The method is described in Policastro et al. (2024) "INet for network integration" <doi:10.1007/s00180-024-01536-8>.

Provides simple functions to compute and plot two types 
    (sample-size- and coverage-based) rarefaction and extrapolation curves for species
    diversity (Hill numbers) based on individual-based abundance data or sampling-unit-
    based incidence data; see Chao and others (2014, Ecological Monographs) for pertinent
    theory and methodologies, and Hsieh, Ma and Chao (2016, Methods in Ecology and Evolution)
    for an introduction of the R package.

Biodiversity is a multifaceted concept covering different levels of organization from
            genes to ecosystems. 'iNEXT.3D' extends 'iNEXT' to include three dimensions (3D) 
            of biodiversity, i.e., taxonomic diversity (TD), phylogenetic diversity (PD) and functional 
            diversity (FD). This package provides functions to compute standardized 3D diversity estimates 
            with a common sample size or sample coverage. A unified framework based on Hill numbers 
            and their generalizations (Hill-Chao numbers) are used to quantify 3D. All 3D estimates 
            are in the same units of species/lineage equivalents and can be meaningfully compared. 
            The package features size- and coverage-based rarefaction and extrapolation sampling 
            curves to facilitate rigorous comparison of 3D diversity across individual assemblages. 
            Asymptotic 3D diversity estimates are also provided. See Chao et al. (2021) 
            <doi:10.1111/2041-210X.13682> for more details.