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parseRPDR: Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries

Functions to load Research Patient Data Registry ('RPDR') text queries from Partners Healthcare institutions into R. The package also provides helper functions to manipulate data and execute common procedures such as finding the closest radiological exams considering a given timepoint, or creating a DICOM header database from the downloaded images. All functionalities are parallelized for fast and efficient analyses.

Version: 1.1.1
Depends: R (≥ 4.0)
Imports: data.table (≥ 1.14.1), stringr (≥ 1.4.0), readr (≥ 1.4.0), parallelly (≥ 1.36.0), foreach (≥ 1.5.1), future (≥ 1.33.1), doFuture (≥ 1.0.1), progressr (≥ 0.14.0)
Suggests: testthat (≥ 3.0.0), reticulate (≥ 1.20), knitr, rmarkdown, covr
Published: 2024-04-03
DOI: 10.32614/CRAN.package.parseRPDR
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <mkolossvary at mgh.harvard.edu>
BugReports: https://github.com/martonkolossvary/parseRPDR/issues
License: AGPL (≥ 3)
URL: https://github.com/martonkolossvary/parseRPDR
NeedsCompilation: no
Citation: parseRPDR citation info
Materials: README NEWS
CRAN checks: parseRPDR results

Documentation:

Reference manual: parseRPDR.pdf

Downloads:

Package source: parseRPDR_1.1.1.tar.gz
Windows binaries: r-devel: parseRPDR_1.1.1.zip, r-release: parseRPDR_1.1.1.zip, r-oldrel: parseRPDR_1.1.1.zip
macOS binaries: r-release (arm64): parseRPDR_1.1.1.tgz, r-oldrel (arm64): parseRPDR_1.1.1.tgz, r-release (x86_64): parseRPDR_1.1.1.tgz, r-oldrel (x86_64): parseRPDR_1.1.1.tgz
Old sources: parseRPDR archive

Linking:

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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.