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pcpr: Principal Component Pursuit for Environmental Epidemiology

Implementation of the pattern recognition technique Principal Component Pursuit tailored to environmental health data, as described in Gibson et al (2022) <doi:10.1289/EHP10479>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: checkmate, dplyr, foreach, furrr, future, magrittr, progressr, purrr, rlang, tidyselect
Suggests: GGally, ggplot2, knitr, lubridate, metR, rmarkdown, tidyr
Published: 2025-03-27
DOI: 10.32614/CRAN.package.pcpr
Author: Lawrence G. Chillrud ORCID iD [aut, cre, cph], Jaime Benavides ORCID iD [aut], Elizabeth A. Gibson ORCID iD [aut], Junhui Zhang ORCID iD [aut], Jingkai Yan ORCID iD [aut], John N. Wright [aut], Jeff Goldsmith [aut], Marianthi-Anna Kioumourtzoglou ORCID iD [aut], Columbia University ROR ID [fnd]
Maintainer: Lawrence G. Chillrud <lawrencechillrud at gmail.com>
BugReports: https://github.com/Columbia-PRIME/pcpr/issues
License: GPL (≥ 3)
URL: https://columbia-prime.github.io/pcpr/, https://github.com/Columbia-PRIME/pcpr
NeedsCompilation: no
Materials: README NEWS
In views: Epidemiology
CRAN checks: pcpr results

Documentation:

Reference manual: pcpr.pdf
Vignettes: Air pollution source apportionment with PCP (source, R code)
Quickstart: applying PCP to a simulated environmental mixture (source, R code)
Theory crash course (source, R code)

Downloads:

Package source: pcpr_1.0.0.tar.gz
Windows binaries: r-devel: pcpr_1.0.0.zip, r-release: pcpr_1.0.0.zip, r-oldrel: pcpr_1.0.0.zip
macOS binaries: r-devel (arm64): pcpr_1.0.0.tgz, r-release (arm64): pcpr_1.0.0.tgz, r-oldrel (arm64): pcpr_1.0.0.tgz, r-devel (x86_64): pcpr_1.0.0.tgz, r-release (x86_64): pcpr_1.0.0.tgz, r-oldrel (x86_64): pcpr_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pcpr 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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