Package: profrep 1.0.0

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>.

Authors:Ursula K. Beattie [cre, aut, cph], David Harris [aut, cph], L. Michael Romero [aut, cph], J. Michael Reed [aut, cph], Zachary R. Weaver [aut, cph]

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profrep.pdf |profrep.html
profrep/json (API)
NEWS

# Install 'profrep' in R:
install.packages('profrep', repos = c('https://ubeattie.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ubeattie/profrep/issues

Pkgdown site:https://ubeattie.github.io

Datasets:

On CRAN:

Conda:

3.70 score 146 downloads 10 exports 0 dependencies

Last updated 1 years agofrom:6de9e06d64. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winOKFeb 28 2025
R-4.5-macOKFeb 28 2025
R-4.5-linuxOKFeb 28 2025
R-4.4-winOKFeb 28 2025
R-4.4-macOKFeb 28 2025
R-4.3-winOKFeb 28 2025
R-4.3-macOKFeb 28 2025

Exports:calculate_crossoversclean_datado_orderingfind_next_good_datapointget_varsprofrepretrieve_good_datascore_dfsscore_individual_dfsigmoid

Dependencies:

profrep

Rendered fromprofrep.Rmdusingknitr::rmarkdownon Feb 28 2025.

Last update: 2023-11-13
Started: 2023-10-10