control.simulate {ergm} | R Documentation |
Auxiliary function as user interface for fine-tuning ERGM simulation.
control.simulate(prop.weights = "default", prop.args = NULL, drop = FALSE, summarizestats = FALSE, maxedges=20000, maxchanges = 1e+06, packagenames="ergm", network.output="network", parallel=0) control.simulate.formula(prop.weights = "default", prop.args = NULL, drop = FALSE, summarizestats = FALSE, maxedges=20000, maxchanges = 1e+06, packagenames="ergm", network.output="network", parallel=0) control.simulate.ergm(prop.weights = "default", prop.args = NULL, drop = FALSE, summarizestats = FALSE, maxchanges = 1e+06, maxedges = 20000, packagenames="ergm", network.output="network", parallel=0)
prop.weights |
Specifies the method to allocate probabilities of
being proposed to dyads. For the |
prop.args |
An alternative, direct way of specifying additional arguments to proposal. |
drop |
logical; Should the degenerate terms in the model be
dropped from the fit?
If statistics occur on the extreme of their range they
correspond to infinite parameter estimates.
Default is |
summarizestats |
logical; Print out a summary of
the sufficient statistics of the generated network. This is useful
as a diagnostic. Default is |
maxedges |
maximum number of edges expected in network |
network.output |
character; class with which to store the output networks. The options are "network" (default) and "edgelist.compressed" (which saves space but only supports networks without vertex attributes) |
maxchanges |
Currently unused |
packagenames |
Names of packages in which changestatistics are found. |
parallel |
Number of threads in which to run the sampling. |
This function is only used within a call to the simulate
function.
See the usage
section in simulate.ergm
for details.
A list with arguments as components.
simulate.ergm
, simulate.formula
.
control.ergm
performs a
similar function for
ergm
;
control.gof
performs a
similar function for gof
.