intervalaverage: Time-Weighted Averaging for Interval Data

Perform fast and memory efficient time-weighted averaging of values measured over intervals into new arbitrary intervals. This package is useful in the context of data measured or represented as constant values over intervals on a one-dimensional discrete axis (e.g. time-integrated averages of a curve over defined periods). This package was written specifically to deal with air pollution data recorded or predicted as averages over sampling periods. Data in this format often needs to be shifted to non-aligned periods or averaged up to periods of longer duration (e.g. averaging data measured over sequential non-overlapping periods to calendar years).

Version: 0.8.0
Depends: data.table (≥ 1.12.8)
Imports: Rcpp
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
Published: 2020-07-23
Author: Michael Young [aut, cre]
Maintainer: Michael Young <myoung3 at uw.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: intervalaverage results

Documentation:

Reference manual: intervalaverage.pdf
Vignettes: intervalaverage-intro
intervalaverage-technicaloverview

Downloads:

Package source: intervalaverage_0.8.0.tar.gz
Windows binaries: r-devel: intervalaverage_0.8.0.zip, r-devel-UCRT: intervalaverage_0.8.0.zip, r-release: intervalaverage_0.8.0.zip, r-oldrel: intervalaverage_0.8.0.zip
macOS binaries: r-release (arm64): intervalaverage_0.8.0.tgz, r-release (x86_64): intervalaverage_0.8.0.tgz, r-oldrel: intervalaverage_0.8.0.tgz

Linking:

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