Provides a curated taxonomic backbone of mammal species recorded in Peru,
    based on the checklist published by Pacheco and collaborators (2021)
    <doi:10.15381/rpb.v28i4.21019>. The package includes standardized species
    data, occurrence records by ecological regions, endemic status, and tools
    for validating and matching scientific names through exact and approximate
    string procedures. It is designed as a lightweight and reliable reference
    for ecological, environmental, biogeographical, and conservation workflows
    that require verified species information for Peruvian mammals.

A friendly API for sequence iteration and set comprehension.

Access the data of the 'Catalogue of the Timber Forest Species of the Peruvian Amazon' Vásquez Martínez, R., & Rojas Gonzáles, R.D.P.(2022)<doi:10.21704/rfp.v37i3.1956>.

Analysis of pervasiveness of effects in correlational data. The Observed Proportion (or Percentage) of Concordant Pairs (OPCP) is Kendall's Tau expressed on a 0 to 1 metric instead of the traditional -1 to 1 metric to facilitate interpretation. As its name implies, it represents the proportion of concordant pairs in a sample (with an adjustment for ties). Pairs are concordant when a participant who has a larger value on a variable than another participant also has a larger value on a second variable. The OPCP is therefore an easily interpretable indicator of monotonicity. The pervasive functions are essentially wrappers for the 'arules' package by Hahsler et al. (2025)<doi:10.32614/CRAN.package.arules> and serve to count individuals who actually display the pattern(s) suggested by a regression. For more details, see the paper "Considering approaches to pervasiveness in the context of personality psychology" now accepted at the journal Personality Science.

Automatic estimation of number of principal components in PCA
    with PEnalized SEmi-integrated Likelihood (PESEL). See Piotr Sobczyk, Malgorzata Bogdan, Julie Josse
    "Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood"
    (2017) <doi:10.1080/10618600.2017.1340302>.