rdssampleC: Create RDS samples with given characteristics

In RDS: Respondent-Driven Sampling

Create RDS samples with given characteristics

Description

Create RDS samples with given characteristics

Usage

rdssampleC(
  net,
  nnodes = network.size(net),
  nsamp0,
  fixinitial,
  nsamp,
  replace,
  coupons,
  select = NULL,
  bias = NULL,
  rds.samp = NULL,
  seed.distribution = NULL,
  attrall = FALSE,
  trait.variable = "disease",
  nsims = 1,
  seeds = NULL,
  prob.network.recall = 1,
  verbose = TRUE
)

Arguments

net	the network object from which to draw a sample
nnodes	the number of nodes in the network [at least as default]
nsamp0	the number of seeds to be drawn (i.e. the size of the 0th wave of sampling)
fixinitial	a variable that indicates the distribution from which to draw the initial seeds, if the seeds variable is NULL and the seed.distribution variable is NULL
nsamp	number of individuals in each RDS sample
replace	sampling with replacement
coupons	number of coupons
select	not used
bias	not used
rds.samp	not used
seed.distribution	a variable [what kind?] that indicates the distribution from which to draw the initial seeds
attrall	Whether all the information about the sample should be returned [??]
trait.variable	attribute of interest
nsims	number of RDS samples to draw
seeds	an array of seeds. Default is NULL, in which case the function draws the seeds from the nodes of the network.
prob.network.recall	simulates the probability that an individual will remember any particular link
verbose	Print verbose output

Value

A list with the following elements: nsample: vector of indices of sampled nodes wsample: vector of waves of each sampled node degsample: vector of degrees of sampled nodes attrsample: vector of attrs of sampled nodes toattr: vector of numbers of referrals to attrsd nodes tonoattr: vector of number of referrans to unattrsd nominators: recruiter of each sample

RDS documentation built on Aug. 20, 2023, 9:06 a.m.