profrep: Profile Repeatability

Calculates profile repeatability for replicate stress response curves, or similar time-series data. Profile repeatability is an individual repeatability metric that uses the variances at each timepoint, the maximum variance, the number of crossings (lines that cross over each other), and the number of replicates to compute the repeatability score. For more information see Reed et al. (2019) <doi:10.1016/j.ygcen.2018.09.015>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-12-04
Author: Ursula K. Beattie ORCID iD [cre, aut, cph], David Harris [aut, cph], L. Michael Romero ORCID iD [aut, cph], J. Michael Reed ORCID iD [aut, cph], Zachary R. Weaver ORCID iD [aut, cph]
Maintainer: Ursula K. Beattie <ursula.beattie at tufts.edu>
BugReports: https://github.com/ubeattie/profrep/issues
License: MIT + file LICENSE
URL: https://ubeattie.github.io/profrep/
NeedsCompilation: no
Citation: profrep citation info
Materials: README NEWS
CRAN checks: profrep results

Documentation:

Reference manual: profrep.pdf
Vignettes: profrep

Downloads:

Package source: profrep_1.0.0.tar.gz
Windows binaries: r-prerel: profrep_1.0.0.zip, r-release: profrep_1.0.0.zip, r-oldrel: profrep_1.0.0.zip
macOS binaries: r-prerel (arm64): profrep_1.0.0.tgz, r-release (arm64): profrep_1.0.0.tgz, r-oldrel (arm64): profrep_1.0.0.tgz, r-prerel (x86_64): profrep_1.0.0.tgz, r-release (x86_64): profrep_1.0.0.tgz

Linking:

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