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bbmle (version 1.0.20)
Tools for General Maximum Likelihood Estimation
Description
Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.
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Install
install.packages('bbmle')
Monthly Downloads
18,025
Version
1.0.20
License
GPL
Maintainer
Ben Bolker
Last Published
October 30th, 2017
Functions in bbmle (1.0.20)
Search functions
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