Title: Tools for General Maximum Likelihood Estimation
Imports: stats, numDeriv, lattice, MASS, methods
This package modifies and extends the 'mle' classes in the 'stats4' package.

Imports: stats, numDeriv, lattice, MASS, methods, bdsmatrix, Matrix,
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.

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

Imports: stats, graphics, stats4, numDeriv, lattice, MASS

Author: Sarvesh Nikumbh (BBO originally invented by Prof. Dan Simon,
Description: 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

Description: Provides a common framework for optimization of black-box functions
for other packages, e.g. 'mlr3'. It offers various optimization methods e.g.
grid search, random search and generalized simulated annealing.
Imports: checkmate (>= 2.0.0), data.table, lgr, mlr3misc (>= 0.3.0),
Suggests: bibtex, GenSA, knitr, nloptr, rmarkdown, testthat
Author: Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>),

Description: Provides a common framework for optimization of
black-box functions for other packages, e.g. 'mlr3'. It offers various
optimization methods e.g.  grid search, random search and generalized
Imports: checkmate (>= 2.0.0), data.table, lgr, methods, mlr3misc (>=

Suggests: adagio, GenSA, knitr, nloptr, rmarkdown, testthat

black-box functions for other packages, e.g. 'mlr3tuning' or
'mlr3fselect'.  It offers various optimization methods e.g. grid
search, random search and generalized simulated annealing.
Suggests: adagio, GenSA, knitr, nloptr, progressr, rmarkdown, testthat
Collate: 'Archive.R' 'ArchiveBest.R' 'Objective.R' 'ObjectiveRFun.R'