startR: Automatically Retrieve Multidimensional Distributed Data Sets

Tool to automatically fetch, transform and arrange subsets of multi- dimensional data sets (collections of files) stored in local and/or remote file systems or servers, using multicore capabilities where possible. The tool provides an interface to perceive a collection of data sets as a single large multidimensional data array, and enables the user to request for automatic retrieval, processing and arrangement of subsets of the large array. Wrapper functions to add support for custom file formats can be plugged in/out, making the tool suitable for any research field where large multidimensional data sets are involved.

Version: 2.1.0
Depends: R (≥ 3.2.0)
Imports: abind, bigmemory, future, multiApply (≥ 2.1.1), parallel, easyNCDF, s2dverification, ClimProjDiags
Suggests: stats, utils
Published: 2020-10-29
Author: BSC-CNS [aut, cph], Nicolau Manubens [aut], An-Chi Ho [ctb, cre], Nuria Perez-Zanon ORCID iD [ctb], Javier Vegas [ctb], Pierre-Antoine Bretonniere [ctb], Roberto Serrano [ctb]
Maintainer: An-Chi Ho <an.ho at bsc.es>
BugReports: https://earth.bsc.es/gitlab/es/startR/-/issues
License: LGPL-3
URL: https://earth.bsc.es/gitlab/es/startR/
NeedsCompilation: no
SystemRequirements: cdo ecFlow
Materials: NEWS
CRAN checks: startR results

Downloads:

Reference manual: startR.pdf
Package source: startR_2.1.0.tar.gz
Windows binaries: r-devel: startR_2.1.0.zip, r-release: startR_2.1.0.zip, r-oldrel: startR_2.1.0.zip
macOS binaries: r-release: startR_2.1.0.tgz, r-oldrel: startR_2.1.0.tgz
Old sources: startR archive

Reverse dependencies:

Reverse suggests: CSTools

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