View source: R/control.ergm.ego.R
control.ergm.ego  R Documentation 
ergm.ego
.Constructs and checks the list of control parameters for estimation by
ergm.ego
.
control.ergm.ego(
ppopsize = c("auto", "samp", "pop"),
ppopsize.mul = 1,
ppop.wt = c("round", "sample"),
stats.wt = c("data", "ppop"),
stats.est = c("survey", "asymptotic", "bootstrap", "jackknife", "naive"),
boot.R = 10000,
ignore.max.alters = TRUE,
ergm = control.ergm(),
...
)
ppopsize, ppopsize.mul 
Parameters to determine the size
The default is to use the same pseudopopulation size as the sample size, but, particularly if there are sampling weights in the data, it should be bigger. Note that depending on 
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

stats.wt 
Weight assigned to each ego's contribution to the ERGM's sufficient statistic:

stats.est, boot.R 
Method to be used to estimate the ERGM's sufficient statistics and their variance:

ignore.max.alters 
if 
ergm 
Control parameters for the 
... 
Not used at this time. 
A list with arguments as components.
Pavel N. Krivitsky
Pavel N. Krivitsky and Martina Morris (2017). "Inference for social network models from egocentrically sampled data, with application to understanding persistent racial disparities in HIV prevalence in the US." Annals of Applied Statistics, 11(1): 427–455. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/16AOAS1010")}
Pavel N. Krivitsky, Martina Morris, and Michał Bojanowski (2019). "Inference for ExponentialFamily Random Graph Models from EgocentricallySampled Data with Alter–Alter Relations." NIASRA Working Paper 0819. https://www.uow.edu.au/niasra/publications/
Pavel N. Krivitsky, Michał Bojanowski, and Martina Morris (2020). "Impact of survey design on estimation of exponentialfamily random graph models from egocentricallysampled data." Social Networks, to appear. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.socnet.2020.10.001")}
Pavel N. Krivitsky, Mark S. Handcock, and Martina Morris (2011). "Adjusting for Network Size and Composition Effects in ExponentialFamily Random Graph Models." Statistical Methodology, 8(4): 319–339. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.stamet.2011.01.005")}
control.ergm()
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