R: Tools for General Maximum Likelihood Estimation

# Tools for General Maximum Likelihood Estimation

## Documentation for package ‘bbmle’ version 1.0.25.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

AIC-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-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-method | Log likelihoods and model selection for mle2 objects
as.data.frame.profile.mle2 | convert profile to data frame
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-method | Class "mle2". Result of Maximum Likelihood Estimation.
coef-method | Class "summary.mle2", summary of "mle2" objects
coerce-method | convert profile to data frame
coerce-method | Class "mle2". Result of Maximum Likelihood Estimation.
confint-method | Methods for likelihood profiles
confint.mle2 | Methods for likelihood profiles
deviance-method | Class "mle2". Result of Maximum Likelihood Estimation.
dnorm_n | Normal distribution with profiled-out standard deviation
formula-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-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-method | Methods for likelihood profiles
plot.profile.mle2 | Methods for likelihood profiles
pop_pred_samp | generate population prediction sample from parameters
predict-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
proffun | Likelihood profiles
profile-method | Likelihood profiles
profile-methods | Likelihood profiles
profile.mle2 | Likelihood profiles
profile.mle2-class | Methods for likelihood profiles
qAIC | Log likelihoods and model selection for mle2 objects
qAIC-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-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-method | Predicted values from an mle2 fit
sbeta | Abstract definitions of distributions
sbetabinom | Abstract definitions of distributions
sbinom | Abstract definitions of distributions
show-method | Class "mle2". Result of Maximum Likelihood Estimation.
show-method | Methods for likelihood profiles
show-method | Class "summary.mle2", summary of "mle2" objects
simulate-method | Predicted values from an mle2 fit
slice | Calculate likelihood "slices"
slice-method | Class "mle2". Result of Maximum Likelihood Estimation.
slice.mle2-class | likelihood-surface slices
slice1D | Calculate likelihood "slices"
slice2D | Calculate likelihood "slices"
sliceOld | Calculate likelihood "slices"
slicetrans | Calculate likelihood "slices"
slnorm | Abstract definitions of distributions
snbinom | Abstract definitions of distributions
snorm | Abstract definitions of distributions
spois | Abstract definitions of distributions
stdEr | Class "mle2". Result of Maximum Likelihood Estimation.
stdEr-method | Class "mle2". Result of Maximum Likelihood Estimation.
strwrapx | Wrap strings at white space and + symbols
summary-method | Class "mle2". Result of Maximum Likelihood Estimation.
summary.mle2-class | Class "summary.mle2", summary of "mle2" objects
update-method | Class "mle2". Result of Maximum Likelihood Estimation.
vcov-method | Class "mle2". Result of Maximum Likelihood Estimation.