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Advanced sports performance analysis and modeling for activity data retrieved from 'Strava'. This package focuses on applying established sports science models and statistical methods to gain deeper insights into training load, performance prediction, recovery status, and identifying key performance factors, extending basic data analysis capabilities.
Version: | 0.1.2 |
Depends: | R (≥ 3.6.0) |
Imports: | dplyr (≥ 1.0.0), ggplot2, httr, jsonlite, lubridate, purrr, rlang (≥ 0.4.0), rStrava, tidyr, viridis, zoo |
Suggests: | devtools, knitr, pkgdown, rmarkdown, testthat (≥ 3.0.0), mockery |
Published: | 2025-05-16 |
DOI: | 10.32614/CRAN.package.Athlytics |
Author: | Ang [aut, cre] |
Maintainer: | Ang <ang at hezhiang.com> |
BugReports: | https://github.com/HzaCode/Athlytics/issues |
License: | MIT + file LICENSE |
URL: | https://hezhiang.com/Athlytics/, https://github.com/HzaCode/Athlytics |
NeedsCompilation: | no |
Citation: | Athlytics citation info |
Materials: | README NEWS |
CRAN checks: | Athlytics results |
Reference manual: | Athlytics.pdf |
Vignettes: |
Introduction to Athlytics (source, R code) |
Package source: | Athlytics_0.1.2.tar.gz |
Windows binaries: | r-devel: Athlytics_0.1.2.zip, r-release: Athlytics_0.1.2.zip, r-oldrel: Athlytics_0.1.2.zip |
macOS binaries: | r-release (arm64): Athlytics_0.1.2.tgz, r-oldrel (arm64): Athlytics_0.1.2.tgz, r-release (x86_64): Athlytics_0.1.2.tgz, r-oldrel (x86_64): Athlytics_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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