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: |
2.2.0 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
abind, bigmemory, future, multiApply (≥ 2.1.0), parallel, easyNCDF, s2dv, ClimProjDiags, PCICt |
| Suggests: |
stats, utils, testthat |
| Published: |
2022-02-15 |
| Author: |
Nicolau Manubens [aut],
An-Chi Ho [aut, cre],
Nuria Perez-Zanon 
[aut],
Javier Vegas [ctb],
Pierre-Antoine Bretonniere [ctb],
Roberto Serrano [ctb],
BSC-CNS [aut, cph] |
| Maintainer: |
An-Chi Ho <an.ho at bsc.es> |
| BugReports: |
https://earth.bsc.es/gitlab/es/startR/-/issues |
| License: |
Apache License 2.0 |
| URL: |
https://earth.bsc.es/gitlab/es/startR/ |
| NeedsCompilation: |
no |
| SystemRequirements: |
cdo ecFlow |
| Materials: |
NEWS |
| CRAN checks: |
startR results |
Documentation:
Downloads:
Reverse dependencies:
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