Andromeda: Asynchronous Disk-Based Representation of Massive Data

Storing very large data objects on a local drive, while still making it possible to manipulate the data in an efficient manner.

Version: 0.2.0
Depends: dplyr
Imports: RSQLite, DBI, zip, methods, dbplyr, tidyselect, cli, pillar
Suggests: testthat, knitr, rmarkdown, rlang, tibble
Published: 2020-05-20
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie at ohdsi.org>
BugReports: https://github.com/OHDSI/Andromeda/issues
License: Apache License 2.0
URL: https://ohdsi.github.io/Andromeda/, https://github.com/OHDSI/Andromeda
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Andromeda results

Downloads:

Reference manual: Andromeda.pdf
Vignettes: Using Andromeda
Package source: Andromeda_0.2.0.tar.gz
Windows binaries: r-devel: Andromeda_0.2.0.zip, r-release: Andromeda_0.2.0.zip, r-oldrel: Andromeda_0.2.0.zip
macOS binaries: r-release: Andromeda_0.2.0.tgz, r-oldrel: Andromeda_0.2.0.tgz
Old sources: Andromeda archive

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