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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NEWS

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

Peer review:

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

Datasets:

On CRAN:

10 exports 1.52 score 0 dependencies 140 downloads

Last updated 10 months agofrom:6de9e06d64. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 31 2024
R-4.5-winOKAug 31 2024
R-4.5-linuxOKAug 31 2024
R-4.4-winOKAug 31 2024
R-4.4-macOKAug 31 2024
R-4.3-winOKAug 31 2024
R-4.3-macOKAug 31 2024

Exports:calculate_crossoversclean_datado_orderingfind_next_good_datapointget_varsprofrepretrieve_good_datascore_dfsscore_individual_dfsigmoid

Dependencies:

profrep

Rendered fromprofrep.Rmdusingknitr::rmarkdownon Aug 31 2024.

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