boolboot: Bootstrap for Boolean Models
Description
Performs bootstrap estimates of a boolean model.
Usage
boolboot(obj, n = 100, method = "nlminb", cluster = NULL, ...)
Arguments
obj
boolean model object as produced by boolprep and
first estimated with boolean. n
integer specifying the number of bootstrap estimates. Defaults to
100.
method
string specifying the method of estimation. The specified
method should be one of those available from the optimx or
optim functions. Defaults to "nlminb". cluster
string vector specifying hosts to use for parallel processing
through parallel (see makeCluster). Defaults to NULL
indicating no clustering. ...
additional parameters to pass on to subsequent functions.
Value
boolboot returns a boolboot model object. This
object is identical to a boolean model object but with an additional
model.boot slot containing the results of the bootstrap. A separate
object type is used to help prevent the accidential loss of bootstrap
estimates.
Details
boolboot performs bootstrap estimated of a boolean model specified
by boolprep and first estimated with boolean.
References
Braumoeller, Bear F. (2003) ``Causal Complexity and the Study
of Politics.'' Political Analysis 11(3): 209--233.
See Also
See boolprep for model setup, boolean
for estimation, the parallel package for details on clustering,
and optimx and optim for estimation methods.