control.simulate.ergm.ego: Control parameters for 'simulate.ergm.ego()'.

In statnet/ergm.ego: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data

Control parameters for simulate.ergm.ego().

Description

Constructs and checks the list of control parameters for simulation by simulate.ergm.ego().

Usage

control.simulate.ergm.ego(
  ppop.wt = c("round", "sample"),
  SAN = control.san(),
  simulate = control.simulate(),
  ...
)

Arguments

ppop.wt	Because each ego must be represented in the pseuodopopulation network an integral number of times, if the sample is weighted (or the target |N'| calculated from ppopsize and ppopsize.mul is not a multiple of the sample size), it may not be possible, for a finite |N'| to represent each ego exactly according to its relative weight, and ppop.wt controls how the fractional egos are allocated: "round" (default) Rather than treating ppopsize as a hard setting, calculate |N'| w_i / w_\cdot for each ego i and round it to the nearest integer. Then, the |N'| actually used will be the sum of these rounded freqencies. "sample" Resample in proportion to w_i.
SAN	A list of control parameters for san() constructed by control.ergm(), called to construct a pseudopopulation network consistent with the data.
simulate	A list of control parameters for simulate.formula() constructed by control.simulate(), called to simulate from the model fit.
...	Not used at this time.

Value

A list with arguments as components.

Author(s)

Pavel N. Krivitsky

See Also

control.simulate, control.san

statnet/ergm.ego documentation built on Feb. 12, 2025, 8:37 p.m.