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.html , 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-release (arm64): pcpr_1.0.0.tgz, r-oldrel (arm64): pcpr_1.0.0.tgz, r-release (x86_64): pcpr_1.0.0.tgz, r-oldrel (x86_64): pcpr_1.0.0.tgz

Linking:

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