What does squeacr do? | Installation | Usage | Calculating CMAM programme performance metrics | CMAM programme length-of-stay | CMAM programme coverage
Package: squeacr 0.1.1
Ernest Guevarra
squeacr: Semi-Quantitative Evaluation of Access and Coverage (SQUEAC) 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. 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.
Authors:
squeacr_0.1.1.tar.gz
squeacr_0.1.1.zip(r-4.7)squeacr_0.1.1.zip(r-4.6)squeacr_0.1.1.zip(r-4.5)
squeacr_0.1.1.tgz(r-4.6-any)squeacr_0.1.1.tgz(r-4.5-any)
squeacr_0.1.1.tar.gz(r-4.7-any)squeacr_0.1.1.tar.gz(r-4.6-any)
squeacr_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
squeacr/json (API)
| # Install 'squeacr' in R: |
| install.packages('squeacr', repos = c('https://nutriverse.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nutriverse/squeacr/issues
Pkgdown/docs site:https://nutriverse.io
Datasets:
- monitoring - Routine CMAM monitoring data from Sudan
- muac_admission - MUAC at admission
- muac_admission_tidy - MUAC at admission in tidy format
- otp_beneficiaries - Outpatient Therapeutic Care Programme (OTP) beneficiaries data
- seasonal_calendar - Seasonal calendar data for Sudan
- time_to_travel - Time-to-travel to health facilities for beneficiaries and volunteers
acute-malnutritioncmamcoveragesqueacsurveywasting
Last updated from:df5e1a3bfa. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 136 | ||
| source / vignettes | OK | 192 | ||
| linux-release-x86_64 | OK | 138 | ||
| macos-release-arm64 | OK | 96 | ||
| macos-oldrel-arm64 | OK | 93 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 76 | ||
| windows-oldrel | OK | 98 | ||
| wasm-release | OK | 140 |
Exports:calculate_cfcalculate_curedcalculate_deadcalculate_defaultcalculate_loscalculate_los_mediancalculate_muac_mediancalculate_no_responsecalculate_performancecalculate_routcalculate_tcfind_var_namessmooth_m3a3
Dependencies:cligluelatticelifecyclemagrittrpillarpkgconfigrlangtibbleutf8vctrszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calculate CMAM length of stay and median length of stay for a cohort of CMAM discharges | calculate_los calculate_los_median |
| Calculate median MUAC-at_admissions | calculate_muac_median |
| Calculate CMAM performance indicators | calculate_cured calculate_dead calculate_default calculate_no_response calculate_performance |
| CMAM coverage estimators | calculate_cf calculate_rout calculate_tc |
| Find possible variable names from a data.frame given a set of search names | find_var_names |
| Routine CMAM monitoring data from Sudan | monitoring |
| MUAC at admission | muac_admission |
| MUAC at admission in tidy format | muac_admission_tidy |
| Outpatient Therapeutic Care Programme (OTP) beneficiaries data | otp_beneficiaries |
| Seasonal calendar data for Sudan | seasonal_calendar |
| Apply median of 3 and average of 3 smoothing on a time series | smooth_m3a3 |
| Time-to-travel to health facilities for beneficiaries and volunteers | time_to_travel |
