Package: rSPARCS 0.1.1

Wangjian Zhang

rSPARCS: Sites, Population, and Records Cleaning Skills

Data cleaning including 1) generating datasets for time-series and case-crossover analyses based on raw hospital records, 2) linking individuals to an areal map, 3) picking out cases living within a buffer of certain size surrounding a site, etc. For more information, please refer to Zhang W,etc. (2018) <doi:10.1016/j.envpol.2018.08.030>.

Authors:Wangjian Zhang [aut, cre], Zhicheng Du [aut], Xinlei Deng [aut], Ziqiang Lin [aut], Bo Ye [aut], Jijin Yao [aut], Yanan Jin [aut], Wayne Lawrence [aut]

rSPARCS_0.1.1.tar.gz
rSPARCS_0.1.1.tar.gz(r-4.5-noble)rSPARCS_0.1.1.tar.gz(r-4.4-noble)
rSPARCS_0.1.1.tgz(r-4.4-emscripten)rSPARCS_0.1.1.tgz(r-4.3-emscripten)
rSPARCS.pdf |rSPARCS.html
rSPARCS/json (API)

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 4 scripts 403 downloads 10 exports 47 dependencies

Last updated 1 years agofrom:1c7d66a6e6. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-linuxOKNov 16 2024

Exports:case.seriesCXover.dataDBFgeocodedesc.compdupl.readmexposure_lagFIPS.namemediationkingpick.casesraster_extract

Dependencies:askpassclassclassIntclicurldata.tableDBIdplyre1071fansigenericsgeospheregluehttrjsonliteKernSmoothlatticelifecyclemagrittrMASSmimeopensslpillarpkgconfigplyrproxyR6rappdirsrasterRcpprlangs2sfspstringistringrsysterratibbletidyselecttigrisunitsutf8uuidvctrswithrwk