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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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Version

Install

install.packages('bbmle')

Monthly Downloads

18,512

Version

1.0.20

License

GPL

Maintainer

Ben Bolker

Last Published

October 30th, 2017

Functions in bbmle (1.0.20)

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