lqas_classify: LQAS classifier

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

LQAS classifier

Description

LQAS classifier

Usage

lqas_classify_(
  cases_in,
  cases_out,
  rec_in = NULL,
  k = 3,
  threshold = c(0.2, 0.5),
  label = FALSE
)

lqas_classify(
  cases_in,
  cases_out,
  rec_in = NULL,
  k = 3,
  threshold = c(0.2, 0.5),
  label = FALSE
)

lqas_classify_cf(cases_in, cases_out, threshold = c(0.2, 0.5), label = FALSE)

lqas_classify_tc(
  cases_in,
  cases_out,
  rec_in,
  k,
  threshold = c(0.2, 0.5),
  label = FALSE
)

Arguments

cases_in	Number of SAM and/or MAM cases found during the survey who are in the CMAM programme.
cases_out	Number of SAM and/or MAM cases found during the survey who are in the CMAM programme.
rec_in	Number of children recovering from SAM or MAM found during the survey who are in the programme.
k	Correction factor. Ratio of the mean length of an untreated episode to the mean length of a CMAM treatment episode
threshold	Decision rule threshold/s. Should be between 0 and 1. At least one threshold should be provided for a two-tier classifier. Two thresholds should be provided for a three-tier classifier. Default is a three-tier classifier with rule set at 0.2 and 0.5.
label	Logical. Should the output results be classification labels? If TRUE, output classification are character labels else they are integer values. Default is FALSE.

Value

A data.frame() of coverage classifications for case-finding effectiveness and for treatment coverage.

Author(s)

Ernest Guevarra

Examples

lqas_classify(cases_in = 6, cases_out = 34, rec_in = 6)

with(
  survey_data,
  lqas_classify(
    cases_in = cases_in, cases_out = cases_out, rec_in = rec_in
  )
)

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