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_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_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
wfhz.01                 A sample SMART survey data with
                        weight-for-height z-score standard deviation
                        rated as problematic
