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The actual contents of the file can be viewed below.

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BIC-methods             Log likelihoods and model selection for mle2
                        objects
ICtab                   Compute table of information criteria and
                        auxiliary info
as.data.frame.profile.mle2
                        convert profile to data frame
call.to.char            Convert calls to character
get.mnames              extract model names
mle2                    Maximum Likelihood Estimation
mle2-class              Class "mle2". Result of Maximum Likelihood
                        Estimation.
mle2.options            Options for maximum likelihood estimation
namedrop                drop unneeded names from list elements
parnames                get and set parameter names
predict-methods         Predicted values from an mle2 fit
profile-methods         Likelihood profiles
profile.mle2-class      Methods for likelihood profiles
relist2                 reconstruct the structure of a list
sbinom                  Abstract definitions of distributions
slice                   Calculate likelihood "slices"
slice.mle2-class        likelihood-surface slices
strwrapx                Wrap strings at white space and + symbols
summary.mle2-class      Class "summary.mle2", summary of "mle2" objects