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RDS (version 0.9-9)

RDS.HCG.estimates: Homophily Configuration Graph Estimates

Description

This function computes the Homophily Configuration Graph type estimates for a categorical variable.

Usage

RDS.HCG.estimates(
  rds.data,
  outcome.variable,
  N = NULL,
  subset = NULL,
  small.fraction = FALSE,
  empir.lik = TRUE,
  to.factor = FALSE,
  cont.breaks = 3
)

Value

If the empir.lik is true, an object of class rds.interval.estimate is returned. This is a list with components

  • estimate: The numerical point estimate of proportion of the trait.variable.

  • interval: A matrix with six columns and one row per category of trait.variable:

    • point estimate: The HT estimate of the population mean.

    • 95% Lower Bound: Lower 95% confidence bound.

    • 95% Upper Bound: Upper 95% confidence bound.

    • Design Effect: The design effect of the RDS.

    • s.e.: Standard error.

    • n: Count of the number of sample values with that value of the trait.

Otherwise an object of class rds.HCG.estimate object is returned.

Arguments

rds.data

An rds.data.frame with recruitment time set.

outcome.variable

A string giving the name of the variable in the rds.data that contains a categorical variable to be analyzed.

N

Population size to be used to calculate the empirical likelihood interval. If NULL, this value is taken to be the population.size.mid attribute of the data and if that is not set, no finite population correction is used.

subset

An optional criterion to subset rds.data by. It is an R expression which, when evaluated, subset the data. In plain English, it can be something like subset = seed > 0 to exclude seeds. It can also be the name of a logical vector of the same length of the outcome variable where TRUE means include it in the analysis. If NULL then no subsetting is done.

small.fraction

Should a small sample fraction be assumed

empir.lik

Should confidence intervals be estimated using empirical likelihood.

to.factor

force variable to be a factor

cont.breaks

If variable is numeric, how many discretization points should be used in the calculation of the weights.

Author

Ian E. Fellows

See Also

RDS.I.estimates, RDS.II.estimates, RDS.SS.estimates

Examples

Run this code

data(fauxtime)
RDS.HCG.estimates(rds.data=fauxtime,outcome.variable='var1')

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