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.
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               A replacement and extension of the optim()
                        function, plus various optimization tools
scalechk                Check the scale of the initial parameters and
                        bounds input to an optimization code used in
                        nonlinear optimization
