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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>.

Version: 0.1.1
Imports: data.table, sf, geosphere, tigris, raster, sp, plyr, dplyr, methods
Published: 2023-11-21
DOI: 10.32614/CRAN.package.rSPARCS
Author: 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]
Maintainer: Wangjian Zhang <zhangwj227 at mail.sysu.edu.cn>
License: GPL-3
NeedsCompilation: no
CRAN checks: rSPARCS results

Documentation:

Reference manual: rSPARCS.pdf

Downloads:

Package source: rSPARCS_0.1.1.tar.gz
Windows binaries: r-devel: rSPARCS_0.1.1.zip, r-release: rSPARCS_0.1.1.zip, r-oldrel: rSPARCS_0.1.1.zip
macOS binaries: r-release (arm64): rSPARCS_0.1.1.tgz, r-oldrel (arm64): rSPARCS_0.1.1.tgz, r-release (x86_64): rSPARCS_0.1.1.tgz, r-oldrel (x86_64): rSPARCS_0.1.1.tgz
Old sources: rSPARCS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rSPARCS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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