# 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.simulate.ergm.ego R Documentation

## 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