kp.estimator: Average personal network size estimates using known...
In networkreporting: Tools for using Network Reporting Estimators

Description Usage Arguments Value Technical note TODO

If given attribute.names, then this function produces estimated average network sizes given by the groups that are defined by all combinations of the attributes; otherwise, it estimates the average personal network size for the entire frame population.

kp.estimator_(resp.data, known.populations, attribute.names, weights,
  total.kp.size = NULL, alter.popn.size = NULL)

kp.estimator(resp.data, known.populations, attribute.names, weights,
  total.kp.size = 1, alter.popn.size = NULL)

`resp.data`	the dataframe that has the survey responses
`known.populations`	the names of the columns in `resp.data` that have respondents' reports about connections to known populations
`attribute.names`	the names of the columns in `resp.data` that determine the subgroups for which average degree is estimated
`weights`	weights to use in computing the estimate
`total.kp.size`	the size of the probe alters; i.e., the sum of the known population sizes. if NULL, then this is set to 1
`alter.popn.size`	the size of the population of alters; this is most often the frame population, which is the default if nothing else is specified; the size of the frame population is taken to be the sum of the weights over all of resp.data

the estimated average degree for respondents in each of the categories given by attribute.names

The estimated average degree is (∑ y_{F_α, A} / N_A) \times N_F / N_{F_α} here, we estimate N_F / N_{F_α} by dividing the total of all respondents' weights by the sum of the weights for respondents in each cell α.