hcg.weights: homophily configuration graph weights

In RDS: Respondent-Driven Sampling

homophily configuration graph weights

Description

homophily configuration graph weights

Usage

hcg.weights(
  rds.data,
  outcome.variable,
  N = NULL,
  small.fraction = FALSE,
  reltol = sqrt(.Machine$double.eps),
  max.optim = 500,
  theta.start = NULL,
  weights.include.seeds = TRUE,
  ...
)

Arguments

rds.data	An rds.data.frame
outcome.variable	The variable used to base the weights on.
N	Population size
small.fraction	should a small sample fraction be assumed
reltol	Relative convergence tolerance for the HCG estimator. The algorithm stops if it is unable to reduce the log-likelihood by a factor of reltol * (abs(log-likelihood) + reltol) at a step. Defaults to sqrt(.Machine$double.eps), typically about 1e-8.
max.optim	The number of iterations on the likelihood optimization for the HCG estimator.
theta.start	The initial value of theta used in the likelihood optimization for the HCG estimator. If NULL, the default, it is the margin of the table of counts for the transitions.
weights.include.seeds	logical Should the weights be computed including the influence of the seeds?
...	Unused

Examples

data(fauxtime)
hcg.weights(fauxtime,"var1",N=3000)
fauxtime$NETWORK[c(1,100,40,82,77)] <- NA

RDS documentation built on Sept. 11, 2024, 8:13 p.m.