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Objects to manipulate sequential and seasonal time series. Sequential time series based on time instants and time durations are handled. Both can be regularly or unevenly spaced (overlapping durations are allowed). Only POSIX* format are used for dates and times. The following classes are provided : 'POSIXcti', 'POSIXctp', 'TimeIntervalDataFrame', 'TimeInstantDataFrame', 'SubtimeDataFrame' ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).
Version: | 1.15.3 |
Imports: | methods |
Published: | 2023-08-29 |
DOI: | 10.32614/CRAN.package.timetools |
Author: | Vladislav Navel |
Maintainer: | Vladislav Navel <vnavel at yahoo.fr> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://sourceforge.net/projects/timetools/ |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | timetools results |
Reference manual: | timetools.pdf |
Package source: | timetools_1.15.3.tar.gz |
Windows binaries: | r-devel: timetools_1.15.3.zip, r-release: timetools_1.15.3.zip, r-oldrel: timetools_1.15.3.zip |
macOS binaries: | r-release (arm64): timetools_1.15.3.tgz, r-oldrel (arm64): timetools_1.15.3.tgz, r-release (x86_64): timetools_1.15.3.tgz, r-oldrel (x86_64): timetools_1.15.3.tgz |
Old sources: | timetools archive |
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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.