Provides functions to access data from public RESTful APIs including 
    'Nager.Date', 'World Bank API', and 'REST Countries API', retrieving real-time or historical 
    data related to Peru, such as holidays, economic indicators, and international 
    demographic and geopolitical indicators. Additionally, the package includes 
    curated datasets focused on Peru, covering topics such as administrative 
    divisions, electoral data, demographics, biodiversity and educational classifications. 
    The package supports reproducible research and teaching by integrating reliable international 
    APIs and structured datasets from public, academic, and government sources. 
    For more information on the APIs, see: 
    'Nager.Date' <https://date.nager.at/Api>, 
    'World Bank API' <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392>, 
    and 'REST Countries API' <https://restcountries.com/>.

Provide users with a convenient way to access and analyze information on endangered plant species in Peru based on `Decreto Supremo N 043-2006-AG - Aprueban categorizacion de especies amenazadas de flora silvestre`<https://sinia.minam.gob.pe/normas/aprueban-categorizacion-especies-amenazadas-flora-silvestre>.

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>.

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>.

Computes the Danish Pesticide Load Indicator as described in Kudsk et al. (2018) <doi:10.1016/j.landusepol.2017.11.010> and Moehring et al. (2019) <doi:10.1016/j.scitotenv.2018.07.287> for pesticide use data. Additionally offers the possibility to directly link pesticide use data to pesticide properties given access to the Pesticide properties database (Lewis et al., 2016) <doi:10.1080/10807039.2015.1133242>.