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Inclusión del paquete eph in rOpenSci #3

@ddiannae

Description

@ddiannae

Usuario GitHub de la Persona Encargada: @caropradier
Repositorio: https://github.com/ropensci/eph


  • Pega el archivo DESCRIPTION completo dentro del siguiente bloque de código.
Package: eph
Title: Argentina's Permanent Household Survey Data and Manipulation Utilities
Version: 0.6.0
Authors@R: c(
    person("Diego", "Kozlowski", email = "diegokoz92@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0002-5396-3471")),
    person("Pablo", "Tiscornia", email = "pablotisco@gmail.com", role = "aut"),
    person("Guido", "Weksler", email = "guidowe45@gmail.com", role = c("aut")),
    person("Natsumi", "Shokida", email = "natsumi.shokida@gmail.com", role = "aut"),
    person("German", "Rosati", email = "german.rosati@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-9775-0435")),
    person("Juan Gabriel", "Juara", email = "jg.juara@gmail.com", role = "ctb"),
    person("Carolina", "Pradier", email = "carolinapradier@gmail.com", role = c("aut","cre"), comment = c(ORCID = "0009-0007-5058-6352")))
Description: Tools to download and manipulate the Permanent Household Survey from Argentina
    (EPH is the Spanish acronym for Permanent Household Survey).
    e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets,
    calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology.
    organize_panels() is used to concatenate observations from different periods, and organize_labels()
    adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>.
    As this package works with the argentinian Permanent Household Survey and its main audience is from this country,
    the documentation was written in Spanish.
BugReports: https://github.com/holatam/eph/issues
Imports:
    dplyr,
    expss,
    purrr,
    tibble,
    stringr,
    readxl,
    tidyr,
    utils,
    attempt,
    zoo,
    leaflet,
    htmltools,
    rlang,
    rvest,
    xml2,
    stats,
    cli
Depends: R (>= 2.10)
License: MIT + file LICENSE
Encoding: UTF-8
Language: es
URL: https://github.com/holatam/eph
LazyData: true
RoxygenNote: 7.2.3
Suggests: 
    testthat,
    lubridate,
    knitr,
    rmarkdown,
    ggplot2,
    readr,
    forcats
VignetteBuilder: knitr

Alcance

  • Por favor, indica qué categoría(s) aplica(n) a este paquete:

    • obtención de datos (data retrieval)
    • extracción de datos (data extraction)
    • manipulación de datos (data munging)
    • depósito de datos (data deposition)
    • validación y comprobación de datos (data validation and testing)
  • ¿Tienes otras preguntas u otros comentarios?

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