API Client and Dataset Management for the Demographic and Health
Survey (DHS) Data
c(person(given = "OJ",
family = "Watson",
role = c("aut", "cre"),
email = "oj.watson@hotmail.co.uk",
comment = c(ORCID = "0000-0003-2374-0741")),
person(given = "Jeff",
family = "Eaton",
role = "aut",
comment = c(ORCID = "0000-0001-7728-728X")),
person(given = "Lucy",
family = "D'Agostino McGowan",
role = "rev",
comment = c(ORCID = "0000-0001-7297-9359")),
person(given = "Duncan",
family = "Gillespie",
role = "rev"))
Provides a client for (1) querying the DHS API for survey indicators
and metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying surveys
and datasets for analysis, (3) downloading survey datasets from the DHS website,
(4) loading datasets and associate metadata into R, and (5) extracting variables
and combining datasets for pooled analysis.
R6, httr, jsonlite, foreign, magrittr, rappdirs, digest,
storr, xml2, qdapRegex, rgdal, getPass, haven, iotools
testthat, knitr, rmarkdown, ggplot2, survey, data.table,
microbenchmark
OJ Watson [aut, cre] (<https://orcid.org/0000-0003-2374-0741>),
Jeff Eaton [aut] (<https://orcid.org/0000-0001-7728-728X>),
Lucy D'Agostino McGowan [rev] (<https://orcid.org/0000-0001-7297-9359>),
Duncan Gillespie [rev]

brio, R6, httr, jsonlite, foreign, magrittr, rappdirs, digest,
storr, xml2, qdapRegex, rgdal, getPass, haven, iotools
testthat, knitr, rmarkdown, ggplot2, survey, data.table,
microbenchmark, sf

c(person("Christopher", "Bolen", role=c("aut", "cre"),
email="cbolen1@gmail.com"),
person("Florian", "Rubelt", role="aut",
email="frubelt@stanford.edu"),
person("Jason", "Vander Heiden", role="aut",
email="jason.vanderheiden@yale.edu"))
Methods for calculation and visualization of the Repertoire
Dissimilarity Index. Citation: Bolen and Rubelt, et al (2017)
<doi:10.1186/s12859-017-1556-5>.
Christopher Bolen [aut, cre],
Florian Rubelt [aut],
Jason Vander Heiden [aut]

A client library for "The Guardian" <https://www.guardian.com/> and their
API, this package allows users to search for Guardian articles and retrieve both
the content and metadata.