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
dnorm_n                 Normal distribution with profiled-out standard
                        deviation
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
pop_pred_samp           generate population prediction sample from
                        parameters
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
