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bbmle (version 1.0.25)

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

22,311

Version

1.0.25

License

GPL

Issues

18

Pull Requests

1

Stars

25

Forks

13

Maintainer

Ben Bolker

Last Published

May 11th, 2022

Functions in bbmle (1.0.25)

ICtab

Compute table of information criteria and auxiliary info
summary.mle2-class

Class "summary.mle2", summary of "mle2" objects
BIC-methods

Log likelihoods and model selection for mle2 objects
mle2-class

Class "mle2". Result of Maximum Likelihood Estimation.
sbinom

Abstract definitions of distributions
mle2

Maximum Likelihood Estimation
slice

Calculate likelihood "slices"
profile.mle2-class

Methods for likelihood profiles
mle2.options

Options for maximum likelihood estimation
relist2

reconstruct the structure of a list
predict-methods

Predicted values from an mle2 fit
namedrop

drop unneeded names from list elements
profile-methods

Likelihood profiles
call.to.char

Convert calls to character
as.data.frame.profile.mle2

convert profile to data frame
dnorm_n

Normal distribution with profiled-out standard deviation
slice.mle2-class

likelihood-surface slices
get.mnames

extract model names
strwrapx

Wrap strings at white space and + symbols
pop_pred_samp

generate population prediction sample from parameters
parnames

get and set parameter names