estimate_probit: Function to apply bootstrap to RAM-OP indicators using a...

In validmeasures/ramOP: An Implementation of Rapid Assessment Method for Older People

Function to apply bootstrap to RAM-OP indicators using a PROBIT estimator.

Description

Function to apply bootstrap to RAM-OP indicators using a PROBIT estimator.

Usage

estimate_probit(
  x,
  w,
  gam.stat = probit_gam,
  sam.stat = probit_sam,
  params = "MUAC",
  outputColumns = "MUAC",
  replicates = 399
)

Arguments

x	Indicators dataset produced by create_op_all with primary sampling unit (PSU) in column named PSU
w	A data frame with primary sampling unit (PSU) in column named psu and survey weight (i.e. PSU population) in column named pop
gam.stat	A function operating on data in x to estimate GAM prevalence for older people. Fixed to probit_gam
sam.stat	A function operating on data in x to estimate SAM prevalence for older people. Fixed to probit_sam
params	Parameters (named columns in x) passed to the function specified in statistic; fixed to MUAC as indicator amenable to probit estimation
outputColumns	Names of columns in output data frame; fixed to MUAC
replicates	Number of bootstrap replicate case and non-case

Value

Dataframe of boot estimates using bootPROBIT function

Examples

  #
  test <- estimate_probit(x = indicators.ALL,
                          w = testPSU,
                          replicates = 3)

  test

validmeasures/ramOP documentation built on April 18, 2024, 1:04 a.m.