kp.individual.estimator: Individual personal network size estimates using the known...

In dfeehan/networkreporting: Tools for using Network Reporting Estimators

Individual personal network size estimates using the known population method

Description

In most situations, the known population method will be used to estimate the average personal network size; this can be done with kp.estimator_. If, instead, you wish to estimate the personal network size of each individual respondent, then you can use this function.

Usage

kp.individual.estimator(
  resp.data,
  known.populations,
  total.kp.size = 1,
  alter.popn.size,
  dropmiss = FALSE
)

kp.individual.estimator_(
  resp.data,
  known.populations,
  total.kp.size = 1,
  alter.popn.size,
  dropmiss = FALSE
)

Arguments

resp.data	the respondent (survey) data
known.populations	the names of the known populations
total.kp.size	the sum of the sizes of all of the known populations
alter.popn.size	the size of the population respondents are reporting about connections to; typically this will be the frame population, so alter.popn.size should be the size of the frame population, N.F
dropmiss	see the dropmiss argument of kp.estimator_

Details

Note that this is not making inference about any larger population; it estimates a property of each individual respondent. So the sampling weights are not used here.

Value

a data frame with an estimate of each individual respondent's personal network size

TODO

• make unit tests

dfeehan/networkreporting documentation built on May 17, 2023, 1:06 a.m.