Package: sleacr 0.0.0.9000

Ernest Guevarra

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

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]

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

Peer review:

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

On CRAN:

coveragesleac

17 exports 1 stars 0.23 score 0 dependencies 2 scripts

Last updated 7 months agofrom:c5a55c02d7. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:classify_coveragecreate_sampling_listget_binom_hypergeomget_class_probget_dget_hypergeomget_hypergeom_cumulativeget_nget_n_casesget_n_clustersget_sampling_intervalmake_datarun_lqasselect_random_startselect_sampling_clusterssimulate_lqastest_lqas_classifier

Dependencies: