bbmle v1.0.23.1

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Tools for General Maximum Likelihood Estimation

Methods and functions for fitting maximum likelihood models in R.

Functions in bbmle

Name Description
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.
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Vignettes of bbmle

Name
cc-attrib-nc.png
chicago.bst
mle2.Rnw
mle2.bib
quasi.Rnw
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Details

VignetteBuilder knitr
BuildVignettes yes Description: Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.
License GPL
URL https://github.com/bbolker/bbmle
Collate 'mle2-class.R' 'mle2-methods.R' 'mle.R' 'confint.R' 'predict.R' 'profile.R' 'update.R' 'dists.R' 'IC.R' 'slice.R' 'impsamp.R'
RoxygenNote 6.1.1
Encoding UTF-8
NeedsCompilation no
Packaged 2020-02-02 20:39:22 UTC; bolker
Repository CRAN
Date/Publication 2020-02-03 12:00:02 UTC

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