Allows access to the data found in the species list featured in the renowned 'List of the Birds of Peru' Plenge, M. A. (2023) <https://sites.google.com/site/boletinunop/checklist>. This publication stands as one of Peru's most comprehensive reviews of bird diversity. The dataset incorporates detailed species accounts and has been meticulously structured for effortless utilization within the R environment.

We provide a stage-wise selection method using genetic algorithm which can perform fast interaction selection in high-dimensional linear regression models with two-way interaction effects under strong, weak, or no heredity condition. Ye, C.,and Yang,Y. (2019) <doi:10.1109/TIT.2019.2913417>.

Easy-to-use tools for performing complex queries on 'avidaDB', a
  semantic database that stores genomic and transcriptomic data of
  self-replicating computer programs (known as digital organisms) that mutate
  and evolve within a user-defined computational environment.

Provides easy access to the 'AviList' Global Avian Checklist, 
    the first unified global bird taxonomy that harmonizes previous 
    differences between International Ornithological Committee ('IOC'), 
    'Clements', and 'BirdLife' checklists. This package contains the 
    complete 'AviList' dataset as R data objects ready for ornithological 
    research and analysis. For more details see 'AviList' Core Team (2025) 
    <doi:10.2173/avilist.v2025>.

Tools to compute the center of gravity and moment of inertia tensor of any 
    flying bird. The tools function by modeling a bird as a composite structure 
    of simple geometric objects. This requires detailed morphological 
    measurements of bird specimens although those obtained for the associated 
    paper have been included in the package for use. Refer to the vignettes and 
    supplementary material for detailed information on the package function.

Research of subgroups in random clinical trials with binary outcome and two treatments groups. This is an adaptation of the Jared Foster method (<https://www.ncbi.nlm.nih.gov/pubmed/21815180>).