Expanded Replacement and Extension of the 'optim' Function


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Documentation for package ‘optimx’ version 2025-4.9

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optimx-package A replacement and extension of the optim() function, plus various optimization tools
as.data.frame.optimx General-purpose optimization
axsearch Perform axial search around a supposed MINIMUM and provide diagnostics
bmchk Check bounds and masks for parameter constraints used in nonlinear optimization
bmstep Compute the maximum step along a search direction.
checkallsolvers Test if requested solver is present
checksolver Test if requested solver is present
coef.opm Summarize opm object
coef.optimx Summarize opm object
coef<- Summarize opm object
coef<-.opm Summarize opm object
coef<-.optimx Summarize opm object
ctrldefault set control defaults
dispdefault set control defaults
fnchk Run tests, where possible, on user objective function
gHgen Generate gradient and Hessian for a function at given parameters.
gHgenb Generate gradient and Hessian for a function at given parameters.
grback Backward difference numerical gradient approximation.
grcentral Central difference numerical gradient approximation.
grchk Run tests, where possible, on user objective function and (optionally) gradient and hessian
grfwd Forward difference numerical gradient approximation.
grnd A reorganization of the call to numDeriv grad() function.
grpracma A reorganization of the call to the pracma grad() function.
hesschk Run tests, where possible, on user objective function and (optionally) gradient and hessian
hjn Compact R Implementation of Hooke and Jeeves Pattern Search Optimization
kktchk Check Kuhn Karush Tucker conditions for a supposed function minimum
multistart General-purpose optimization - multiple starts
ncg An R implementation of a Dai / Yuan nonlinear conjugate gradient algorithm.
nvm Variable metric nonlinear function minimization, driver.
opm General-purpose optimization
opm2optimr Extract optim() solution for one method of opm() result
optchk General-purpose optimization
optimr General-purpose optimization
optimr2opm Add a single optimr() solution to a opm() result set
optimx General-purpose optimization
optsp Forward difference numerical gradient approximation.
pd_check Check Hessian matrix is positive definite by attempting a Cholesky decomposition.
polyopt General-purpose optimization - sequential application of methods
proptimr Compact display of an 'optimr()' result object
Rcgmin An R implementation of a Dai / Yuan nonlinear conjugate gradient algorithm.
Rcgminb An R implementation of a Dai / Yuan nonlinear conjugate gradient algorithm.
Rcgminu An R implementation of a Dai / Yuan nonlinear conjugate gradient algorithm.
Rtnmin Truncated Newton function minimization
Rvmmin Variable metric nonlinear function minimization, driver.
Rvmminb Variable metric nonlinear function minimization, driver.
Rvmminu Variable metric nonlinear function minimization, driver.
scalechk Check the scale of the initial parameters and bounds input to an optimization code used in nonlinear optimization
snewtm Safeguarded Newton methods for function minimization using R functions.
snewton Safeguarded Newton methods for function minimization using R functions.
summary.optimx Summarize optimx object
tn Truncated Newton function minimization
tnbc Truncated Newton function minimization
[.optimx General-purpose optimization