estimate_probit: Apply bootstrap to RAM-OP indicators using a PROBIT...

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

Apply bootstrap to RAM-OP indicators using a PROBIT estimator.

Description

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 = params,
  replicates = 399
)

Arguments

x	Indicators dataset produced by create_op() 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.
replicates	Number of bootstrap replicate case and non-case.

Value

A tibble::tibble() of boot estimates using PROBIT.

Examples

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

test

validmeasures/oldr documentation built on Feb. 12, 2025, 7:12 a.m.