Ensuring the precision and accuracy of measurements is critical when collecting anthropometric data. Anthropometrists are usually tested for precision and accuracy of measurement through standardisation tests performed prior to anthropometric data collection. This package provides functions to calculate inter- and intra-observer technical error of measurement (TEM) to assess precision of measurements.
anthrocheckr is not yet on CRAN but can
be installed from the nutriverse R
universe as follows:
install.packages(
"anthrocheckr",
repos = c('https://nutriverse.r-universe.dev', 'https://cloud.r-project.org')
)If you find the anthrocheckr package useful please cite using the
suggested citation provided by a call to the citation() function as
follows:
citation("anthrocheckr")
#> To cite anthrocheckr in publications use:
#>
#> Ernest Guevarra (2024). _anthrocheckr: An Implementation of
#> Anthropometric Measurement Standardisation Tests_. R package version
#> 0.0.9000, <https://nutriverse.io/anthrocheckr/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {anthrocheckr: An Implementation of Anthropometric Measurement Standardisation Tests},
#> author = {{Ernest Guevarra}},
#> year = {2024},
#> note = {R package version 0.0.9000},
#> url = {https://nutriverse.io/anthrocheckr/},
#> }Feedback, bug reports and feature requests are welcome; file issues or seek support here. If you would like to contribute to the package, please see our contributing guidelines.
Please note that the ennet project is released with a Contributor
Code of
Conduct. By
contributing to this project, you agree to abide by its terms.