| 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, maxchanges = 1e+06, packagenames="ergm", parallel=0) control.simulate.formula(prop.weights = "default", prop.args = NULL, drop = FALSE, summarizestats = FALSE, maxchanges = 1e+06, packagenames="ergm", parallel=0) control.simulate.ergm(prop.weights = NULL, prop.args = NULL, drop = FALSE, summarizestats = FALSE, maxchanges = 1e+06, packagenames="ergm", parallel=0)
prop.weights |
Specifies the method to allocate probabilities of
being proposed to dyads. For the simulate.formula
variant, defaults to "default", which picks a
reasonable default for the specified constraint. For
simulate.ergm variant, defaults to NULL, to
reuse the weights with which the given ergm.object was
fitted. Other possible values are
"TNT", "random", and "nonobserved", though not
all values may be used
with all possible constraints. |
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 FALSE. |
summarizestats |
logical; Print out a summary of
the sufficient statistics of the generated network. This is useful
as a diagnostic. Default is FALSE. |
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.