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\name{mxComputeBootstrap}
\alias{mxComputeBootstrap}
\alias{MxComputeBootstrap-class}
\title{Repeatedly estimate model using resampling with replacement}
\description{This is a low-level compute plan object to perform
resampling with replacement. }
\usage{
mxComputeBootstrap(data, plan, replications=200, ...,
verbose=0L, parallel=TRUE, freeSet=NA_character_,
OK=c("OK", "OK/green"), only=NA_integer_)
}
\arguments{
\item{data}{A vector of dataset or model names.}
\item{plan}{The compute plan used to optimize the model for each data
set.}
\item{replications}{The number of resampling replications. If
available, replications from prior mxBootstrap invocations will be reused.}
\item{...}{Not used. Forces remaining arguments to be specified by name.}
\item{verbose}{For levels greater than 0, enables runtime diagnostics}
\item{parallel}{Whether to process the replications in parallel}
\item{freeSet}{names of matrices containing free variables}
\item{OK}{The set of status code that are considered successful}
\item{only}{When provided, only the given replication from a prior
run of \code{mxBootstrap} will be performed. See details.}
}
\details{
The \sQuote{only} option facilitates investigation of a single
replication attempt.
}
\value{
Output is stored in the compute object's \code{output}
slot. Specifically, \code{model$compute$output$raw} contains a data
frame with parameters in columns and replications in rows. In addition
to parameters, the \code{seed}, \code{fit}, and \code{statusCode}
of the replication is also included.
When \sQuote{only} is set to a particular replications, the weight
vectors (one per dataset) are also returned in the compute object's
\code{output} slot. \code{model$compute$output$weight} is a character
vector (by dataset name) of numeric vectors (the weights). These
weights can be used to recreate a model identical to the model used
in the given replication.
}
\seealso{
\code{\link{mxBootstrap}},
\code{\link{as.statusCode}}
}
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