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
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
Old sources: rSPARCS archive

Linking:

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