RDS: compute.weights – R documentation

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RDS

compute.weights

Compute estimates of the sampling weights of the respondent's observations based on various estimators

Description

Compute estimates of the sampling weights of the respondent's observations based on various estimators

Usage

compute.weights(
  rds.data,
  weight.type = c("Gile's SS", "RDS-I", "RDS-I (DS)", "RDS-II", "Arithmetic Mean",
    "HCG"),
  N = NULL,
  subset = NULL,
  control = control.rds.estimates(),
  ...
)

Arguments

`rds.data`	An `rds.data.frame` that indicates recruitment patterns by a pair of attributes named “id” and “recruiter.id”.
`weight.type`	A string giving the type of estimator to use. The options are `"Gile's SS"`, `"RDS-I"`, `"RDS-II"`, `"RDS-I/DS"`, and `"Arithemic Mean"`. It defaults to `"Gile's SS"`.
`N`	An estimate of the number of members of the population being sampled. If `NULL` it is read as the `population.size.mid` attribute of the `rds.data` frame. If that is missing, the weights will sum to 1. Note that this parameter is required for Gile's SS.
`subset`	A logical expression subsetting rds.data.
`control`	A list of control parameters for algorithm tuning. Constructed using `control.rds.estimates`.
`...`	Additional parameters passed to the individual weighting algorithms.

Value

A vector of weights for each of the respondents. It is of the same size as the number of rows in rds.data.

compute.weights

Description

Usage

Arguments

Value

See Also

RDS

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