| as.data.frame.profile.mle2 | convert profile to data frame |
| BIC-methods | Log likelihoods and model selection for mle2 objects |
| call.to.char | Convert calls to character |
| dnorm_n | Normal distribution with profiled-out standard deviation |
| get.mnames | extract model names |
| ICtab | Compute table of information criteria and auxiliary info |
| mle2 | Maximum Likelihood Estimation |
| mle2.options | Options for maximum likelihood estimation |
| mle-class | Class "mle2". Result of 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.mle-class | Methods for likelihood profiles |
| relist | reconstruct the structure of a list |
| sbinom | Abstract definitions of distributions |
| slice | Calculate likelihood "slices" |
| slice.mle-class | likelihood-surface slices |
| strwrapx | Wrap strings at white space and + symbols |
| summary.mle-class | Class "summary.mle2", summary of "mle2" objects |
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