README.Rmd

---
output: github_document
---

<!-- README.md is generated from README.Rmd. Please edit that file -->

```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```
# anthrocheckr: An Implementation of Anthropometric Measurement Standardisation Tests <img src="man/figures/logo.png" width="200" align="right" />

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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.

## What does `anthrocheckr` do?

## Installation

`anthrocheckr` is not yet on [CRAN](https://cran.r-project.org) but can be installed from the [nutriverse R universe](https://nutriverse.r-universe.dev) as follows:

```{r install-r-universe, eval = FALSE}
install.packages(
  "anthrocheckr",
  repos = c('https://nutriverse.r-universe.dev', 'https://cloud.r-project.org')
)
```

## Usage



## Citation

If you find the `anthrocheckr` package useful please cite using the suggested citation provided by a call to the `citation()` function as follows:

```{r citation}
citation("anthrocheckr")
```

## Community guidelines

Feedback, bug reports and feature requests are welcome; file issues or seek support [here](https://github.com/nutriverse/anthrocheckr/issues). If you would like to contribute to the package, please see our [contributing guidelines](https://nutriverse.io/anthrocheckr/CONTRIBUTING.html).

Please note that the `ennet` project is released with a [Contributor Code of Conduct](https://nutriverse.io/anthrocheckr/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.