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STICr: Process Stream Temperature, Intermittency, and Conductivity (STIC) Sensor Data

A collection of functions for processing raw data from Stream Temperature, Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced "sticker") includes functions for tidying, calibrating, classifying, and doing quality checks on data from STIC sensors. Some package functionality is described in Wheeler/Zipper et al. (2023) <doi:10.31223/X5636K>.

Version: 1.0
Depends: R (≥ 4.2)
Imports: dplyr, lubridate, stringr, tidyr, methods
Suggests: knitr, rmarkdown
Published: 2024-09-30
DOI: 10.32614/CRAN.package.STICr
Author: Sam Zipper ORCID iD [aut, cre, cph], Christopher T. Wheeler ORCID iD [aut], Stephen Cook ORCID iD [ctb], Delaney Peterson ORCID iD [ctb], Sarah Godsey ORCID iD [ctb]
Maintainer: Sam Zipper <samzipper at ku.edu>
BugReports: https://github.com/HEAL-KGS/STICr/issues
License: AGPL (≥ 3)
URL: https://github.com/HEAL-KGS/STICr
NeedsCompilation: no
Materials: README NEWS
CRAN checks: STICr results

Documentation:

Reference manual: STICr.pdf
Vignettes: Introduction to STICr (source, R code)

Downloads:

Package source: STICr_1.0.tar.gz
Windows binaries: r-devel: STICr_1.0.zip, r-release: STICr_1.0.zip, r-oldrel: STICr_1.0.zip
macOS binaries: r-release (arm64): STICr_1.0.tgz, r-oldrel (arm64): STICr_1.0.tgz, r-release (x86_64): STICr_1.0.tgz, r-oldrel (x86_64): STICr_1.0.tgz

Linking:

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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.