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| AIC,mle2-method | Log likelihoods and model selection for mle2 objects |
| AIC-methods | Log likelihoods and model selection for mle2 objects |
| AICc | Log likelihoods and model selection for mle2 objects |
| AICc,ANY,mle2,logLik-method | Log likelihoods and model selection for mle2 objects |
| AICc,ANY-method | Log likelihoods and model selection for mle2 objects |
| AICc,logLik-method | Log likelihoods and model selection for mle2 objects |
| AICc,mle2-method | Log likelihoods and model selection for mle2 objects |
| AICc-methods | Log likelihoods and model selection for mle2 objects |
| AICctab | Compute table of information criteria and auxiliary info |
| AICtab | Compute table of information criteria and auxiliary info |
| anova,mle2-method | Log likelihoods and model selection for mle2 objects |
| as.data.frame.profile.mle2 | convert profile to data frame |
| BIC | Log likelihoods and model selection for mle2 objects |
| BIC,ANY,mle2,logLik-method | Log likelihoods and model selection for mle2 objects |
| BIC,ANY-method | Log likelihoods and model selection for mle2 objects |
| BIC,logLik-method | Log likelihoods and model selection for mle2 objects |
| BIC,mle2-method | Log likelihoods and model selection for mle2 objects |
| BIC-methods | Log likelihoods and model selection for mle2 objects |
| BICtab | Compute table of information criteria and auxiliary info |
| calc_mle2_function | Maximum Likelihood Estimation |
| call.to.char | Convert calls to character |
| coef,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |
| coef,summary.mle2-method | Class "summary.mle2", summary of "mle2" objects |
| coerce,mle,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |
| coerce,profile.mle2,data.frame-method | convert profile to data frame |
| coerce,profile.mle2-method | convert profile to data frame |
| confint,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |
| confint,profile.mle2-method | Class "profile.mle2"; Profiling information for "mle2" object |
| deviance,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |
| get.mnames | extract model names |
| gfun | Predicted values from an mle2 fit |
| ICtab | Compute table of information criteria and auxiliary info |
| logLik,mle2-method | Log likelihoods and model selection for mle2 objects |
| logLik-methods | Log likelihoods and model selection for mle2 objects |
| mle | Maximum Likelihood Estimation |
| 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 |
| parnames<- | get and set parameter names |
| plot,profile.mle2,missing-method | Class "profile.mle2"; Profiling information for "mle2" object |
| plot,profile.mle2-method | Class "profile.mle2"; Profiling information for "mle2" object |
| predict,mle2-method | Predicted values from an mle2 fit |
| predict-methods | Predicted values from an mle2 fit |
| print.ICtab | Compute table of information criteria and auxiliary info |
| profile,mle2-method | Likelihood profiles |
| profile-methods | Likelihood profiles |
| profile.mle2-class | Class "profile.mle2"; Profiling information for "mle2" object |
| qAIC | Log likelihoods and model selection for mle2 objects |
| qAIC,ANY,mle2,logLik-method | Log likelihoods and model selection for mle2 objects |
| qAIC,ANY-method | Log likelihoods and model selection for mle2 objects |
| qAIC,logLik-method | Log likelihoods and model selection for mle2 objects |
| qAIC,mle2-method | Log likelihoods and model selection for mle2 objects |
| qAIC-methods | Log likelihoods and model selection for mle2 objects |
| qAICc | Log likelihoods and model selection for mle2 objects |
| qAICc,ANY,mle2,logLik-method | Log likelihoods and model selection for mle2 objects |
| qAICc,ANY-method | Log likelihoods and model selection for mle2 objects |
| qAICc,logLik-method | Log likelihoods and model selection for mle2 objects |
| qAICc,mle2-method | Log likelihoods and model selection for mle2 objects |
| qAICc-methods | Log likelihoods and model selection for mle2 objects |
| relist2 | reconstruct the structure of a list |
| residuals,mle2-method | Predicted values from an mle2 fit |
| sbeta | Abstract definitions of distributions |
| sbetabinom | Abstract definitions of distributions |
| sbinom | Abstract definitions of distributions |
| show,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |
| show,profile.mle2-method | Class "profile.mle2"; Profiling information for "mle2" object |
| show,summary.mle2-method | Class "summary.mle2", summary of "mle2" objects |
| simulate,mle2-method | Predicted values from an mle2 fit |
| slice | Calculate likelihood "slices" |
| slice,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |
| slice.mle2-class | likelihood-surface slices |
| snbinom | Abstract definitions of distributions |
| snorm | Abstract definitions of distributions |
| spois | Abstract definitions of distributions |
| strwrapx | Wrap strings at white space and + symbols |
| summary,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |
| summary.mle2-class | Class "summary.mle2", summary of "mle2" objects |
| update,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |
| vcov,mle2-method | Class "mle2". Result of Maximum Likelihood Estimation. |