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. SQUEAC, which stands for Semi-Quantitative 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 SQUEAC investigation.
The squeacr
package is not yet available on
CRAN but can be installed from the
nutriverse R-universe as follows:
install.packages(
"squeacr",
repos = c('https://nutriverse.r-universe.dev', 'https://cloud.r-project.org')
)
The squeacr
package provides functions that facilitate the processing,
analysis and reporting of various components of a SQUEAC investigation.
The current version of the squeacr
package currently provides the
following:
-
Functions to calculate CMAM programme performance metrics;
-
Functions to calculate CMAM programme length of stay metrics; and,
-
Functions to calculate CMAM coverage estimates.
If you find the squeacr
package useful, please cite using the
suggested citation provided by a call to the citation
function as
follows:
citation("squeacr")
#> To cite squeacr in publications use:
#>
#> Ernest Guevarra (2023). _squeacr: Semi-Quantitative Evaluation of
#> Access and Coverage (SQUEAC) Tools in R_. doi:10.5281/zenodo.7509665
#> <https://doi.org/10.5281/zenodo.7509665>, R package version
#> 0.0.0.9000, <https://nutriverse.io/squeacr/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {squeacr: Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) Tools in R},
#> author = {{Ernest Guevarra}},
#> year = {2023},
#> note = {R package version 0.0.0.9000},
#> url = {https://nutriverse.io/squeacr/},
#> doi = {10.5281/zenodo.7509665},
#> }
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.