R: Tools to Support Optimization Possibly with Bounds and Masks

# Tools to Support Optimization Possibly with Bounds and Masks

## Documentation for package ‘optextras’ version 2019-12.4

- DESCRIPTION file
- Package NEWS

## Help Pages

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.
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.
hesschk | Run tests, where possible, on user objective function and (optionally) gradient and hessian
kktchk | Check Kuhn Karush Tucker conditions for a supposed function minimum
optextras | Tools to Support Optimization Possibly with Bounds and Masks
optsp | Forward difference numerical gradient approximation.
scalechk | Check the scale of the initial parameters and bounds input to an optimization code used in nonlinear optimization