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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/MxCompute.R
\name{mxComputeStandardError}
\alias{mxComputeStandardError}
\alias{MxComputeStandardError-class}
\title{Compute standard errors}
\usage{
mxComputeStandardError(freeSet = NA_character_, fitfunction = "fitfunction")
}
\arguments{
\item{freeSet}{names of matrices containing free variables}
\item{fitfunction}{name of the fitfunction (defaults to 'fitfunction')}
}
\description{
When the fit is in -2 log likelihood units, the SEs are derived
from the diagonal of the Hessian or inverse Hessian. The Hessian
(in some form) must already be available.
}
\details{
If there are active MxConstraints and the fit is in -2logL units,
the SEs are derived from the Hessian and the Jacobian of the
constraint functions (see references).
}
\references{
Moore T & Sadler B. (2006). \emph{Maximum-Likelihood Estimation and
Scoring Under Parametric Constraints}. Army Research Laboratory
report ARL-TR-3805.
Schoenberg R. (1997). Constrained maximum likelihood.
\emph{Computational Economics, 10}, p. 251-266.
}
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