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ACWR
View on CRAN: Click
here
Download and install ACWR package within the R console
Install from CRAN:
install.packages("ACWR")
Install from Github:
library("remotes")
install_github("cran/ACWR")
Install by package version:
library("remotes")
install_version("ACWR", "0.1.0")
Attach the package and use:
library("ACWR")
Maintained by
Jorge R Fernandez-Santos
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ACWR . https://github.com/JorgeDelro/ACWR/issues . https://github.com/JorgeDelro/ACWR . ACWR results . ACWR.pdf . ACWR_0.1.0.tar.gz . ACWR_0.1.0.zip . ACWR_0.1.0.zip . ACWR_0.1.0.zip . ACWR_0.1.0.tgz . ACWR_0.1.0.tgz . ACWR_0.1.0.tgz . ACWR_0.1.0.tgz . ACWR_0.1.0.tgz . ACWR_0.1.0.tgz . https://CRAN.R-project.org/package=ACWR .
First Published: 2022-03-01
Latest Update: 2022-03-01
Description:
Functions for calculating the acute chronic workload ratio using three
different methods: exponentially weighted moving average (EWMA), rolling
average coupled (RAC) and rolling averaged uncoupled (RAU). Examples of this
methods can be found in Williams et al. (2017)
for EWMA and Windt & Gabbet (2018) for RAC and RAU .
How to cite:
Jorge R Fernandez-Santos (2022). ACWR: Acute Chronic Workload Ratio Calculation. R package version 0.1.0, https://cran.r-project.org/web/packages/ACWR. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited ACWR R package
View ACWR citation profile
Other R packages that ACWR depends,
imports, suggests or enhances
Complete documentation for ACWR
Functions, R codes and Examples using
the ACWR R package
Some associated functions: ACWR . EWMA . RAC . RAU . plot_ACWR . training_blocks . training_load .
Some associated R codes: ACWR.R . EWMA.R . RAC.R . RAU.R . plot_ACWR.R . training_load.R . utils.R . Full ACWR package functions and examples
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