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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
18,025
Version
1.0.25
License
GPL
Issues
17
Pull Requests
1
Stars
24
Forks
13
Repository
https://github.com/bbolker/bbmle
Maintainer
Ben Bolker
Last Published
May 11th, 2022
Functions in bbmle (1.0.25)
Search functions
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