Package: sociome 2.2.5

Nik Krieger

sociome: Operationalizing Social Determinants of Health Data for Researchers

Accesses raw data via API and calculates social determinants of health measures for user-specified locations in the US, returning them in tidyverse- and sf-compatible data frames.

Authors:Nik Krieger [aut, cre], Jarrod Dalton [aut], Cindy Wang [aut], Adam Perzynski [aut], National Institutes of Health/National Institute on Aging [fnd]

sociome_2.2.5.tar.gz
sociome_2.2.5.zip(r-4.5)sociome_2.2.5.zip(r-4.4)sociome_2.2.5.zip(r-4.3)
sociome_2.2.5.tgz(r-4.4-any)sociome_2.2.5.tgz(r-4.3-any)
sociome_2.2.5.tar.gz(r-4.5-noble)sociome_2.2.5.tar.gz(r-4.4-noble)
sociome_2.2.5.tgz(r-4.4-emscripten)sociome_2.2.5.tgz(r-4.3-emscripten)
sociome.pdf |sociome.html
sociome/json (API)
NEWS

# Install 'sociome' in R:
install.packages('sociome', repos = c('https://clevelandclinicqhs.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/clevelandclinicqhs/sociome/issues

Datasets:

On CRAN:

11 exports 24 stars 2.39 score 87 dependencies 1 mentions 6 scripts 252 downloads

Last updated 10 months agofrom:5466de3a02. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 12 2024
R-4.5-winOKSep 12 2024
R-4.5-linuxOKSep 12 2024
R-4.4-winOKSep 12 2024
R-4.4-macOKSep 12 2024
R-4.3-winOKSep 12 2024
R-4.3-macOKSep 12 2024

Exports:%>%append_dissimilaritiesareas_in_radiuscalculate_adicensus_api_keyclosest_n_areasclosest_populationget_adiget_geoidslon_lat_from_areasynthetic_population

Dependencies:askpassbackportsbitbit64bootbroomclassclassIntclicliprcodetoolscpp11crayoncurlDBIdplyre1071fansiforcatsforeachgenericsglmnetglueGPArotationhavenhmshttriteratorsjomojsonliteKernSmoothlatticelifecyclelme4magrittrMASSMatrixmicemimeminqamitmlmnormtnlmenloptrnnetnumDerivopensslordinalpanpillarpkgconfigprettyunitsprogressproxypsychpurrrR6rappdirsRcppRcppEigenreadrrlangrpartrvests2selectrsfshapestringistringrsurvivalsystibbletidycensustidyrtidyselecttigristzdbucminfunitsutf8uuidvctrsvroomwithrwkxml2