chords (version 0.67)

generate.sample: Generates a random respondent driven sample

Description

Generates a discrete-time respondent driven sample assuming the model in the reference. Typically used to test estimate.rds

Usage

generate.sample(theta, Njs, beta, sample.length, double.sampling.warning.thresh = 0.05)

Arguments

theta

See reference.

Njs

See reference.

beta

See reference.

sample.length

The duration of sampling in discrete time units.

double.sampling.warning.thresh

Warns when the parameters are such that the probability of double sampling in a single time step is non negligible.

Value

• A numeric vector of the degree of the individual sampled at each time step.

References

Respondent Driven Sampling as an Epidemic Process Berchenko Y., Rosenblatt J.D., White R.G.,Frost S.D.W. (2012) ?

See Also

estimate.rds

Examples

network.size<- 2000
network.density<- 0.002
neighbour.count<- lapply(seq(1, network.size), function(x) rbinom(1, network.size, network.density))

Njs<- table(unlist(neighbour.count[neighbour.count>0]))
theta<- 1
beta<- 9e-8 
degree.sampled.vec<- generate.sample(theta = theta, Njs = Njs, beta = beta, sample.length = 5000)
plot(degree.sampled.vec, type='h')