bbmle v1.0.20

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Tools for General Maximum Likelihood Estimation

Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.

Functions in bbmle

Name Description
get.mnames extract model names
mle2-class Class "mle2". Result of Maximum Likelihood Estimation.
sbinom Abstract definitions of distributions
slice Calculate likelihood "slices"
parnames get and set parameter names
profile.mle2-class Methods for likelihood profiles
relist2 reconstruct the structure of a list
namedrop drop unneeded names from list elements
as.data.frame.profile.mle2 convert profile to data frame
call.to.char Convert calls to character
summary.mle2-class Class "summary.mle2", summary of "mle2" objects
BIC-methods Log likelihoods and model selection for mle2 objects
ICtab Compute table of information criteria and auxiliary info
slice.mle2-class likelihood-surface slices
strwrapx Wrap strings at white space and + symbols
mle2 Maximum Likelihood Estimation
mle2.options Options for maximum likelihood estimation
predict-methods Predicted values from an mle2 fit
profile-methods Likelihood profiles
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Vignettes of bbmle

Name
cc-attrib-nc.png
chicago.bst
mle2.Rnw
mle2.bib
quasi.Rnw
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Details

VignetteBuilder knitr
BuildVignettes yes
License GPL
Collate 'mle2-class.R' 'mle2-methods.R' 'mle.R' 'confint.R' 'predict.R' 'profile.R' 'update.R' 'dists.R' 'IC.R' 'slice.R'
NeedsCompilation no
Packaged 2017-10-30 02:06:08 UTC; bolker
Repository CRAN
Date/Publication 2017-10-30 08:49:56 UTC

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