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 |
get.mnames |
extract model names |
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 |
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 |
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 |
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 |
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. |