efts: High-Level Functions to Read and Write Ensemble Forecast Time Series in netCDF

The binary file format 'netCDF' is developed primarily for climate, ocean and meteorological data, and 'efts' is a package to read and write Ensemble Forecast Time Series data in 'netCDF'. 'netCDF' has traditionally been used to store time slices of gridded data, rather than complete time series of point data. 'efts' facilitates data handling stored in 'netCDF' files that follow a convention devised in the domain of ensemble hydrologic forecasting, but possibly applicable in other domains. 'efts' uses reference class objects to provide a high level interface to read and write such data, wrapping lower level operations performed using 'ncdf4'.

Version: 0.9-0
Depends: R (≥ 3.1)
Imports: methods, stringr (≥ 1.2), lubridate (≥ 1.7), magrittr, xts (≥ 0.10), plyr, ncdf4 (≥ 1.16), udunits2
Suggests: testthat, zoo, knitr
Published: 2018-04-26
Author: Jean-Michel Perraud [aut, cre], David Robertson [aut], James Bennett [aut]
Maintainer: Jean-Michel Perraud <jean-michel.perraud at csiro.au>
BugReports: https://github.com/jmp75/efts/issues
License: GPL-2
URL: https://github.com/jmp75/efts
NeedsCompilation: no
Materials: README NEWS
CRAN checks: efts results


Reference manual: efts.pdf
Vignettes: Introduction to the 'efts' R package
Writing ensemble series with the 'efts' R package
Package source: efts_0.9-0.tar.gz
Windows binaries: r-devel: efts_0.9-0.zip, r-release: efts_0.9-0.zip, r-oldrel: efts_0.9-0.zip
OS X binaries: r-release: efts_0.9-0.tgz, r-oldrel: efts_0.9-0.tgz


Please use the canonical form https://CRAN.R-project.org/package=efts to link to this page.