Package: sleacr 0.1.0.9000

Ernest Guevarra

sleacr: Simplified Lot Quality Assurance Sampling Evaluation of Access and Coverage (SLEAC) Tools

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. SLEAC is designed to complement the Semi-quantitative Evaluation of Access and Coverage (SQUEAC) method. This package provides functions for use in conducting a SLEAC assessment.

Authors:Ernest Guevarra [aut, cre, cph], Mark Myatt [aut, cph]

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sleacr.pdf |sleacr.html✨
sleacr/json (API)
NEWS

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

Bug tracker:https://github.com/nutriverse/sleacr/issues

Pkgdown site:https://nutriverse.io

Datasets:
  • pop_data - Population data of districts of Sierra Leone based on 2015 census
  • survey_data - SLEAC survey data from Sierra Leone
  • village_list - List of villages in Bo District, Sierra Leone

On CRAN:

Conda:

acute-malnutritioncmamcoveragenutritionsleacwasting

3.48 score 1 stars 5 scripts 18 exports 15 dependencies

Last updated 1 months agofrom:8c9333fcf4. Checks:6 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-winNOTEMar 06 2025
R-4.5-macNOTEMar 06 2025
R-4.5-linuxNOTEMar 06 2025
R-4.4-winOKMar 06 2025
R-4.4-macOKMar 06 2025
R-4.4-linuxOKMar 06 2025
R-4.3-winOKMar 06 2025
R-4.3-macOKMar 06 2025

Exports:check_coverage_homogeneityestimate_coverageestimate_coverage_overallget_n_casesget_n_clustersget_sample_dget_sample_nget_sampling_clustersget_sampling_listlqas_classifylqas_classify_lqas_classify_cflqas_classify_tclqas_get_class_problqas_simulate_populationlqas_simulate_runlqas_simulate_runslqas_simulate_test

Dependencies:clifansigluelatticelifecyclemagrittrparallellypillarpkgconfigrlangsqueacrtibbleutf8vctrszoo

Introduction to SLEAC

Mark Myatt

Rendered fromsleacr.Rmdusingknitr::rmarkdownon Mar 06 2025.

Last update: 2024-12-27
Started: 2023-01-06