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arse
View on CRAN: Click
here
Download and install arse package within the R console
Install from CRAN:
install.packages("arse")
Install from Github:
library("remotes")
install_github("cran/arse")
Install by package version:
library("remotes")
install_version("arse", "1.0.0")
Attach the package and use:
library("arse")
Maintained by
Nathaniel Ratcliff
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-10
Latest Update: 2019-05-10
Description:
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).
How to cite:
Nathaniel Ratcliff (2019). arse: Area of Resilience to Stress Event. R package version 1.0.0, https://cran.r-project.org/web/packages/arse. Accessed 06 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited arse R package
View arse citation profile
Other R packages that arse depends,
imports, suggests or enhances
Complete documentation for arse
Functions, R codes and Examples using
the arse R package
Some associated functions: aog . arse . arse_s . arse_t . arse_ts . arsefigures . count_rapidity . getintersectx . mean_robust . plot_arse . stress_appraisal . ynadir .
Some associated R codes: aog.R . arse.R . arse_s.R . arse_t.R . arse_ts.R . arsefigures.R . count_rapidity.R . getintersectx.R . mean_robust.R . plot_arse.R . stress_appraisal.R . ynadir.R . Full arse package functions and examples
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