\name{profile-methods}
\docType{methods}
\alias{profile-methods}
\alias{profile,mle2-method}
\title{Likelihood profiles }
\description{
  Create likelihood profiles for a fitted model
}

\usage{\S4method{profile}{mle2}(fitted, which = 1:p, maxsteps = 100,
                    alpha = 0.01, zmax = sqrt(qchisq(1 - alpha/2, p)),
                    del = zmax/5, trace = FALSE, skiperrs=TRUE,
                    std.err, 
                    tol.newmin = 0.001, debug=FALSE, \dots)
}
\arguments{
  \item{fitted}{A fitted maximum likelihood model of class
\dQuote{mle2}}
  \item{which}{a numeric or character vector describing which parameters
to profile (default is to profile all parameters)}
  \item{maxsteps}{maximum number of steps to take looking for an upper
value of the negative log-likelihood}
  \item{alpha}{maximum (two-sided) likelihood ratio test confidence
    level to find}
  \item{zmax}{maximum value of signed square root of deviance difference
    to find (default value corresponds to a
  2-tailed chi-squared test at level alpha)}
  \item{del}{step size for profiling}
  \item{trace}{(logical) produce tracing output?}
  \item{skiperrs}{(logical) ignore errors produced during profiling?}
  \item{std.err}{Optional numeric vector of standard errors, for cases
    when the Hessian is badly behaved.  Will be replicated if necessary,
    and NA values will be replaced by the corresponding values from
    the fit summary}
  \item{tol.newmin}{tolerance for diagnosing a new minimum below the
    minimum deviance estimated in initial fit is found}
  \item{debug}{(logical) debugging output?}
  \item{\dots}{additional arguments (not used)}
}
\details{
   The profiling process starts out by \dots
 }
 \seealso{\code{\link{profile.mle-class}}}
\keyword{methods}