Companion package to the book "industRial data science", 
    J.Ramalho (2021) <https://j-ramalho.github.io/industRial/>. 
    Provides data sets and functions to complete the case studies and contains 
    the book original Rmd files and tutorials.

Get open statistical data and metadata disseminated by the
    National Statistics Institute of Spain (INE). The functions return
    data frames with the requested information thanks to calls to
    the 'INE' API <https://www.ine.es/dyngs/DAB/index.htm?cid=1100>.

Provides access to granular socioeconomic indicators from the
    Spanish Statistical Office (INE) Household Income Distribution Atlas.
    The package downloads and processes data from a companion 'GitHub'
    repository (<https://github.com/pablogguz/ineAtlas.data/>) which
    contains processed versions of the official INE Atlas data. Functions
    are provided to fetch data at multiple geographic levels
    (municipalities, districts, and census tracts), including income
    indicators, demographic characteristics, and inequality metrics. The
    data repository is updated every year when new releases are published
    by INE.

It provides multiple functions that are useful for ecological research and teaching statistics to ecologists. It is based on data analysis courses offered at the Instituto de Ecología AC (INECOL). For references and published evidence see, Manrique-Ascencio, et al (2024) <doi:10.1111/gcb.17282>, Manrique-Ascencio et al (2024) <doi:10.1111/plb.13683>, Ruiz-Guerra et al(2017) <doi:10.17129/botsci.812>, Juarez-Fragoso et al (2024) <doi:10.1007/s10980-024-01809-z>, Papaqui-Bello et al (2024) <doi:10.13102/sociobiology.v71i2.10503>.

Provides functions to download and parse information from INEGI
    (Official Mexican statistics agency). To learn more about the API, see <https://www.inegi.org.mx/servicios/api_indicadores.html>.

Inequality, concentration, and poverty measures. Lorenz curves (empirical and theoretical).

Decomposition of income inequality by groups formed of individuals 
    possessing similar characteristics (e.g., sex, education, age) and their 
    income sources at the same time.
    Decomposition of the Theil index is based on Giammatteo, M. (2007) 
    <https://www.lisdatacenter.org/wps/liswps/466.pdf>.
    Decomposition of the squared coefficient of variation is based on
    Garcia-Penalosa, C., & Orgiazzi, E. (2013) <doi:10.1111/roiw.12054>.