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impactr: Mechanical Loading Prediction Through Accelerometer Data

Functions to read, process and analyse accelerometer data related to mechanical loading variables. This package is developed and tested for use with raw accelerometer data from triaxial 'ActiGraph' <https://theactigraph.com> accelerometers.

Version: 0.4.2
Depends: R (≥ 2.10)
Imports: glue, lubridate, lvmisc, pillar, pracma, purrr, Rcpp, rlang (≥ 0.4.6), signal, stringr, tibble, toOrdinal, utils, vroom
LinkingTo: Rcpp
Suggests: accdata, covr, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-02-26
DOI: 10.32614/CRAN.package.impactr
Author: Lucas Veras ORCID iD [aut, cre]
Maintainer: Lucas Veras <lucasdsveras at gmail.com>
BugReports: https://github.com/verasls/impactr/issues/
License: MIT + file LICENSE
URL: https://lveras.com/impactr/
NeedsCompilation: yes
Additional_repositories: https://lveras.com/drat/
Language: en-GB
Materials: README NEWS
CRAN checks: impactr results

Documentation:

Reference manual: impactr.pdf
Vignettes: Introduction to impactr

Downloads:

Package source: impactr_0.4.2.tar.gz
Windows binaries: r-devel: impactr_0.4.2.zip, r-release: impactr_0.4.2.zip, r-oldrel: impactr_0.4.2.zip
macOS binaries: r-release (arm64): impactr_0.4.2.tgz, r-oldrel (arm64): impactr_0.4.2.tgz, r-release (x86_64): impactr_0.4.2.tgz, r-oldrel (x86_64): impactr_0.4.2.tgz
Old sources: impactr archive

Linking:

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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.