Create RDS samples with given characteristics
Create RDS samples with given characteristics
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 )
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 |
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
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