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)
#> ℹ Case-finding effectiveness across 14 surveys is not patchy.
#> ! Treatment coverage across 14 surveys is patchy.
#> $cf
#> $cf$statistic
#> [1] 20.1292
#> 
#> $cf$df
#> [1] 13
#> 
#> $cf$p
#> [1] 0.09203514
#> 
#> 
#> $tc
#> $tc$statistic
#> [1] 33.10622
#> 
#> $tc$df
#> [1] 13
#> 
#> $tc$p
#> [1] 0.001642536
#> 
#>