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-4.4-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'))

Peer review:

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

Datasets:

On CRAN:

3.70 score 2 scripts 199 downloads 10 exports 17 dependencies

Last updated 6 years agofrom:36814fd48a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:aogarsearse_sarse_tarse_tscount_rapiditygetintersectxmean_robustplot_arseynadir

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpracmaR6rlangtibbletidyselectutf8vctrswithr

arse_walkthrough

Rendered fromarse_walkthrough.Rmdusingknitr::rmarkdownon Nov 08 2024.

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