Tools for General Maximum Likelihood Estimation

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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.