R: An Efficient Workflow for Plausibility Checks and Prevalence Analysis of Wasting in R

# An Efficient Workflow for Plausibility Checks and Prevalence Analysis of Wasting in R

## Documentation for package ‘mwana’ version 0.2.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

anthro.01 | A sample data of district level SMART surveys with location anonymised
anthro.02 | A sample of an already wrangled survey data
anthro.03 | A sample data of district level SMART surveys conducted in Mozambique
anthro.04 | A sample data from a community-based sentinel site with location anonymised
define_wasting | Define wasting
flag_outliers | Identify, flag, and remove outliers
get_age_months | Calculate child's age in months
mfaz.01 | A sample mid-upper arm circumference (MUAC) screening data
mfaz.02 | A sample SMART survey data with mid-upper arm circumference measurements
mw_check_ipcamn_ssreq | Check whether sample size requirements for IPC Acute Malnutrition (IPC AMN) analysis are met
mw_estimate_age_weighted_prev_muac | Estimate age-weighted prevalence of wasting by MUAC
mw_estimate_prevalence_combined | Estimate the prevalence of combined wasting
mw_estimate_prevalence_mfaz | Estimate the prevalence of wasting based on z-scores of muac-for-age (MFAZ)
mw_estimate_prevalence_muac | Estimate the prevalence of wasting based on MUAC for survey data
mw_estimate_prevalence_screening | Estimate the prevalence of wasting based on MUAC for non-survey data
mw_estimate_prevalence_screening2 | Estimate the prevalence of wasting based on MUAC for non-survey data
mw_estimate_prevalence_wfhz | Estimate the prevalence of wasting based on weight-for-height z-scores (WFHZ)
mw_neat_output_mfaz | Clean and format the output tibble returned from the MUAC-for-age z-score plausibility check
mw_neat_output_muac | Clean and format the output tibble returned from the MUAC plausibility check
mw_neat_output_wfhz | Clean and format the output tibble returned from the WFHZ plausibility check
mw_plausibility_check_mfaz | Check the plausibility and acceptability of MUAC-for-age z-score (MFAZ) data
mw_plausibility_check_muac | Check the plausibility and acceptability of raw MUAC data
mw_plausibility_check_wfhz | Check the plausibility and acceptability of weight-for-height z-score (WFHZ) data
mw_stattest_ageratio | Test for statistical difference between the proportion of children aged 24 to 59 months old over those aged 6 to 23 months old
mw_stattest_ageratio2 | Test for statistical difference between the proportion of children aged 24 to 59 months old over those aged 6 to 23 months old
mw_wrangle_age | Wrangle child's age
mw_wrangle_muac | Wrangle MUAC data
mw_wrangle_wfhz | Wrangle weight-for-height data
recode_muac | Convert MUAC values to either centimetres or millimetres
remove_flags | Identify, flag, and remove outliers
wfhz.01 | A sample SMART survey data with weight-for-height z-score standard deviation rated as problematic