Produces diversity estimates and species lists with associated global distribution for any vascular plant family and genus from Plants of the World Online database, by interacting with the source code of each plant taxon page. It also creates global maps of species richness, graphics of species discoveries and name changes over time. For more details: 'Zuanny, D.C., B.Vilela, P.W.Moonlight, T.E.Särkinen, and D.Cardoso. 2024. expowo: An R package for mining global plant diversity and distribution data. Applications in Plant Sciences 12: e11609'.

A set of functions for computing expected permutation matrices given a matrix of likelihoods for each individual assignment. It has been written to accompany the forthcoming paper 'Computing expectations and marginal likelihoods for permutations'. Publication details will be updated as soon as they are finalized.

Allows to calculate the probabilities  of occurrences of an event in a 
 great number of repetitions of Bernoulli experiment, through the application of  
 the local and the integral theorem of De Moivre Laplace, and the theorem of Poisson. 
 Gives the possibility to show the results graphically and analytically, and to compare
 the results obtained by the application of the above  theorems with those calculated by
 the direct application of the Binomial formula. Is basically useful for educational
 purposes.

Network-centric framework for integrative analysis of
    high-throughput gene expression data using user-supplied gene-gene
    interaction graphs. Constructs seed-centered multi-generation networks
    constrained by expression correlations and simulates expression
    perturbation scenarios via regression-based prediction (van Dam, 2018).

Given a continuous-time dynamic network, this package allows one to fit a stochastic blockmodel where nodes belonging to the same group create interactions and non-interactions of similar lengths. This package implements the methodology described by R. Rastelli and M. Fop (2020) <doi:10.1007/s11634-020-00403-w>.