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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 |
DOI: | 10.32614/CRAN.package.profrep |
Author: | Ursula K. Beattie |
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 |
Reference manual: | profrep.pdf |
Vignettes: |
profrep |
Package source: | profrep_1.0.0.tar.gz |
Windows binaries: | r-devel: profrep_1.0.0.zip, r-release: profrep_1.0.0.zip, r-oldrel: profrep_1.0.0.zip |
macOS binaries: | r-release (arm64): profrep_1.0.0.tgz, r-oldrel (arm64): profrep_1.0.0.tgz, r-release (x86_64): profrep_1.0.0.tgz, r-oldrel (x86_64): profrep_1.0.0.tgz |
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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.
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