check_coverage_homogeneity: Check coverage distribution

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

Check coverage distribution

Description

Check coverage distribution

Usage

check_coverage_homogeneity(cov_df, k = 3, p = 0.05)

Arguments

cov_df	A data.frame() of stratified coverage survey data to get overall coverage estimates of. cov_df should have a variable named cases_in for number of SAM or MAM cases in the programme found during the survey, cases_out for number SAM or MAM cases not in the programme found during the survey, and rec_in for children recovering from SAM or MAM who are in the programme found during the survey. A final required variable should be one that contains identifying geographical information corresponding to the location from which each row of the survey data was collected from.
k	Correction factor. Ratio of the mean length of an untreated episode to the mean length of a CMAM treatment episode
p	Minimum p-value to test statistic. Default is 0.05.

Value

A named list of 2 lists: one for case-finding effectiveness (cf) and the second for treatment coverage (tc). For each list, the following values are provided:

• statistic - calculated chi-square statistic

• df - degrees of freedom

• p - p-value of chi-square statistic

Examples

check_coverage_homogeneity(survey_data)

rapidsurveys/sleacr documentation built on Feb. 7, 2025, 8:22 a.m.