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In the recent past, measurement of coverage has been mainly through two-stage cluster sampled surveys either as part of a nutrition assessment or through a specific coverage survey known as Centric Systematic Area Sampling (CSAS). However, such methods are resource intensive and often only used for final programme evaluation meaning results arrive too late for programme adaptation. SLEAC, which stands for Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage, is a low resource method designed specifically to address this limitation and is used regularly for monitoring, planning and importantly, timely improvement to programme quality, both for agency and Ministry of Health (MoH) led programmes. This package provides functions for use in conducting a SLEAC assessment.

Installation

The sleacr package is not yet available on CRAN but can be installed from the Nutriverse R universe as follows:

install.packages(
  "sleacr",
  repos = c('https://nutriverse.r-universe.dev', 'https://cloud.r-project.org')
)

What does sleacr do?

The sleacr package provides functions that facilitate the design, sampling, data collection, and data analysis of a SLEAC survey. The current version of the sleacr package currently provides the following:

  • Functions to calculate the sample size needed for a SLEAC survey;

  • Functions to draw a stage 1 sample for a SLEAC survey;

  • Functions to determine the performance of chosen classifier cut-offs for analysis of SLEAC survey data.

Citation

If you find the sleacr package useful, please cite using the suggested citation provided by a call to the citation function as follows:

citation("sleacr")
#> To cite sleacr in publications use:
#> 
#>   Ernest Guevarra (2023). sleacr: Simplified Lot Quality Assurance
#>   Sampling Evaluation of Access and Coverage (SLEAC) Tools in R R
#>   package version 0.0.0.9000 URL https://nutriverse.io/sleacr/ DOI
#>   10.5281/zenodo.7510932
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Manual{,
#>     title = {sleacr: Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools in R},
#>     author = {{Ernest Guevarra}},
#>     year = {2023},
#>     note = {R package version 0.0.0.9000},
#>     url = {https://nutriverse.io/sleacr/},
#>     doi = {10.5281/zenodo.7510932},
#>   }

Community guidelines

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.

This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.