feasRDS.rdssample: Perform Respondent Driven Sampling (RDS)

In maryclare/feasRDS: Software Tools for

Description

Perform Respondent Driven Sampling (RDS)

Usage

feasRDS.rdssample(net, nnodes = network.size(net), nsamp0, nsamp,
  replace = FALSE, coupons, seed.distribution = NULL,
  seed.composition = NULL, seed.composition.by = NULL,
  trait.variable = "disease", recruitment.rates = NULL,
  recruitment.rates.by = NULL)

Arguments

net	Network to Perform RDS On
nnodes	Number of Nodes in Network to Perform RDS Sample On
nsamp0	Number of Seeds
nsamp	Goal Sample Size (Is it a problem that we're approaching this as getting a certain size sample?)
replace	Allow Replacement
coupons	Number of Coupons Each Sampled Person Gets
seed.distribution	Probabilities of being selected as seed if not 1/degree (default)
seed.composition	Seed counts by variable
seed.composition.by	Variable differentiating seed counts
trait.variable	"Outcome" of Interest, Needs to be Binary (Diseased = 1)
recruitment.rates	If Not Null, Variable Recruitment Rates for Number of Coupons (Matrix with # of rows = # of "recruitment.rates.by" levels, 2 columns for willingness to spread and willingness to participate named "S" and "C", row names = levels of "recruitment.rates.by")
recruitment.rates.by	Variable Differentiating Differential Recruitment There is Differential Recruitment

Value

RDS object

maryclare/feasRDS documentation built on May 3, 2019, 5:19 p.m.