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bbmle (version 1.0.25.1)

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

18,512

Version

1.0.25.1

License

GPL

Issues

17

Pull Requests

1

Stars

25

Forks

13

Maintainer

Ben Bolker

Last Published

December 9th, 2023

Functions in bbmle (1.0.25.1)

sbinom

Abstract definitions of distributions
profile.mle2-class

Methods for likelihood profiles
parnames

get and set parameter names
relist2

reconstruct the structure of a list
pop_pred_samp

generate population prediction sample from parameters
summary.mle2-class

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

Predicted values from an mle2 fit
slice.mle2-class

likelihood-surface slices
profile-methods

Likelihood profiles
slice

Calculate likelihood "slices"
strwrapx

Wrap strings at white space and + symbols
mle2.options

Options for maximum likelihood estimation
namedrop

drop unneeded names from list elements
call.to.char

Convert calls to character
dnorm_n

Normal distribution with profiled-out standard deviation
as.data.frame.profile.mle2

convert profile to data frame
mle2-class

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

Compute table of information criteria and auxiliary info
BIC-methods

Log likelihoods and model selection for mle2 objects
mle2

Maximum Likelihood Estimation
get.mnames

extract model names