aod, emdbook, rms, ggplot2, RUnit, MuMIn, AICcmodavg, Hmisc,
optimx
mle2-class.R mle2-methods.R mle.R confint.R predict.R
profile.R update.R dists.R IC.R

emdbook, rms, ggplot2, RUnit, MuMIn, AICcmodavg, Hmisc,
optimx (>= 2013.8.6), knitr
Methods and functions for fitting maximum likelihood models in R.
This package modifies and extends the mle classes in the stats4 package.
'mle2-class.R' 'mle2-methods.R' 'mle.R' 'confint.R'
'predict.R' 'profile.R' 'update.R' 'dists.R' 'IC.R' 'slice.R'

emdbook, rms, ggplot2, RUnit, MuMIn, AICcmodavg, Hmisc,
optimx (>= 2013.8.6), knitr, testthat

Tools for General Maximum Likelihood Estimation
Methods and functions for fitting maximum likelihood models in R.
This package modifies and extends the 'mle' classes in the 'stats4' package.

Methods and functions for fitting maximum likelihood models in R.
c(person("Ben","Bolker",email="bolker@mcmaster.ca",role=c("aut","cre")),
person("R Development Core Team",role=c("aut")),
person("Iago Giné-Vázquez", role=c("ctb"))
)
stats, numDeriv, lattice, MASS, methods, bdsmatrix, Matrix,
mvtnorm
yes Description: Methods and functions for fitting
maximum likelihood models in R. This package modifies and
extends the 'mle' classes in the 'stats4' package.
'mle2-class.R' 'mle2-methods.R' 'mle.R' 'confint.R'
'predict.R' 'profile.R' 'update.R' 'dists.R' 'IC.R' 'slice.R'
'impsamp.R' 'TMB.R'
Ben Bolker [aut, cre],
R Development Core Team [aut],
Iago Giné-Vázquez [ctb]

'mle2-class.R' 'mle2-methods.R' 'mle.R' 'confint.R'
'predict.R' 'profile.R' 'update.R' 'dists.R' 'IC.R' 'slice.R'
'impsamp.R'

Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.

stats, graphics, stats4, numDeriv, lattice, MASS
mle2-class.R mle2-methods.R mle.R confint.R predict.R
profile.R update.R dists.R IC.R slice.R

Sarvesh Nikumbh (BBO originally invented by Prof. Dan Simon,
Cleveland State University, Ohio)
This package provides an R implementation of
Biogeography-Based Optimization (BBO), originally invented by
Prof. Dan Simon, Cleveland State University, Ohio. This method
is an application of the concept of biogeography, a study of
the geographical distribution of biological organisms, to
optimization problems. More information about this method can
be found here: http://academic.csuohio.edu/simond/bbo/.