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bbmle (version 1.0.23.1)

Tools for General Maximum Likelihood Estimation

Description

Methods and functions for fitting maximum likelihood models in R.

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Install

install.packages('bbmle')

Monthly Downloads

22,311

Version

1.0.23.1

License

GPL

Issues

18

Pull Requests

1

Stars

25

Forks

13

Maintainer

Ben Bolker

Last Published

February 3rd, 2020

Functions in bbmle (1.0.23.1)

mle2

Maximum Likelihood Estimation
pop_pred_samp

generate population prediction sample from parameters
parnames

get and set parameter names
sbinom

Abstract definitions of distributions
summary.mle2-class

Class "summary.mle2", summary of "mle2" objects
slice

Calculate likelihood "slices"
profile.mle2-class

Methods for likelihood profiles
relist2

reconstruct the structure of a list
strwrapx

Wrap strings at white space and + symbols
predict-methods

Predicted values from an mle2 fit
profile-methods

Likelihood profiles
slice.mle2-class

likelihood-surface slices
mle2.options

Options for maximum likelihood estimation
call.to.char

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

convert profile to data frame
BIC-methods

Log likelihoods and model selection for mle2 objects
dnorm_n

Normal distribution with profiled-out standard deviation
namedrop

drop unneeded names from list elements
get.mnames

extract model names
ICtab

Compute table of information criteria and auxiliary info
mle2-class

Class "mle2". Result of Maximum Likelihood Estimation.