shorts: Short Sprints

Create short sprint (<6sec) profiles using the split times or the radar gun data. Mono-exponential equation is used to estimate maximal sprinting speed (MSS), relative acceleration (TAU), and other parameters such us maximal acceleration (MAC) and maximal relative power (PMAX). These parameters can be used to predict kinematic and kinetics variables and to compare individuals. The modeling method utilized in this package is based on the works of Chelly SM, Denis C. (2001) <doi:10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi:10.1519/JSC.0000000000002081>, Furusawa K, Hill AV, Parkinson JL (1927) <doi:10.1098/rspb.1927.0035>, Greene PR. (1986) <doi:10.1016/0025-5564(86)90063-5>, and Samozino P. (2018) <doi:10.1007/978-3-319-05633-3_11>.

Version: 2.0.0
Depends: R (≥ 2.10)
Imports: stats, LambertW, tidyr, ggplot2, minpack.lm, purrr
Suggests: knitr, rmarkdown, tidyverse
Published: 2022-07-07
Author: Mladen Jovanović [aut, cre], Jason D. Vescovi [dtc]
Maintainer: Mladen Jovanović <coach.mladen.jovanovic at gmail.com>
BugReports: https://github.com/mladenjovanovic/shorts/issues
License: MIT + file LICENSE
URL: https://mladenjovanovic.github.io/shorts/
NeedsCompilation: no
Citation: shorts citation info
Materials: README NEWS
CRAN checks: shorts results

Documentation:

Reference manual: shorts.pdf

Downloads:

Package source: shorts_2.0.0.tar.gz
Windows binaries: r-devel: shorts_2.0.0.zip, r-release: shorts_2.0.0.zip, r-oldrel: shorts_2.0.0.zip
macOS binaries: r-release (arm64): shorts_2.0.0.tgz, r-oldrel (arm64): shorts_2.0.0.tgz, r-release (x86_64): shorts_2.0.0.tgz, r-oldrel (x86_64): shorts_2.0.0.tgz
Old sources: shorts archive

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