Package: arse 1.1.0

arse: Area of Resilience to Stress Event

A method for quantifying resilience after a stress event. A set of functions calculate the area of resilience that is created by the departure of baseline 'y' (i.e., robustness) and the time taken 'x' to return to baseline (i.e., rapidity) after a stress event using the Cartesian coordinates of the data. This package has the capability to calculate areas of resilience, growth, and cases in which resilience is not achieved (e.g., diminished performance without return to baseline).

Authors:Nathaniel Ratcliff [aut, cre], Devika Nair [aut], Joshua Goldstein [aut], Teja Pristavec [ctb], Aaron Schroeder [ctb], Jon Spring [ctb]

arse_1.1.0.tar.gz
arse_1.1.0.zip(r-4.5)arse_1.1.0.zip(r-4.4)arse_1.1.0.zip(r-4.3)
arse_1.1.0.tgz(r-4.5-any)arse_1.1.0.tgz(r-4.4-any)arse_1.1.0.tgz(r-4.3-any)
arse_1.1.0.tar.gz(r-4.5-noble)arse_1.1.0.tar.gz(r-4.4-noble)
arse_1.1.0.tgz(r-4.4-emscripten)arse_1.1.0.tgz(r-4.3-emscripten)
arse.pdf |arse.html✨
arse/json (API)
NEWS

# Install 'arse' in R:
install.packages('arse', repos = c('https://nr3xe.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nr3xe/arse/issues

Datasets:

On CRAN:

Conda:

3.70 score 2 scripts 237 downloads 10 exports 17 dependencies

Last updated 6 years agofrom:36814fd48a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winOKMar 08 2025
R-4.5-macOKMar 08 2025
R-4.5-linuxOKMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:aogarsearse_sarse_tarse_tscount_rapiditygetintersectxmean_robustplot_arseynadir

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpracmaR6rlangtibbletidyselectutf8vctrswithr

arse_walkthrough

Nathaniel Ratcliff, Devika Nair, Joshua Goldstein

Rendered fromarse_walkthrough.Rmdusingknitr::rmarkdownon Mar 08 2025.

Last update: 2019-05-13
Started: 2019-05-13