Package index • optimx

All functions
`Rcgmin()` `Rcgminu()` `Rcgminb()`	An R implementation of a Dai / Yuan nonlinear conjugate gradient algorithm.
`tn()` `tnbc()`	Truncated Newton function minimization
`Rvmmin()` `Rvmminb()` `Rvmminu()`	Variable metric nonlinear function minimization, driver.
`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.
`checksolver()` `checkallsolvers()`	Test if requested solver is present
`coef(<opm>)` `coef<-`(<opm>)	Summarize opm object
`ctrldefault()` `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-package`	A replacement and extension of the optim() function, plus various optimization tools
`optimx()`	General-purpose optimization
`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
`scalechk()`	Check the scale of the initial parameters and bounds input to an optimization code used in nonlinear optimization
`snewton()` `snewtm()`	Safeguarded Newton methods for function minimization using R functions.
`summary(<optimx>)`	Summarize optimx object

Reference

All functions