Tools for general maximum likelihood estimation

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Documentation for package ‘bbmle’ version 0.8.9

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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
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
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.