hcg.weights {RDS}

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,
  ...
)

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.

...

Unused

Examples

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