AIC.maxLik              Methods for the various standard functions
MaxControl-class        Class '"MaxControl"'
activePar               free parameters under maximisation
bread.maxLik            Bread for Sandwich Estimator
compareDerivatives      function to compare analytic and numeric
                        derivatives
condiNumber             Print matrix condition numbers column-by-column
estfun.maxLik           Extract Gradients Evaluated at each Observation
fnSubset                Call fnFull with variable and fixed parameters
hessian                 Hessian matrix
logLik.maxLik           Return the log likelihood value
maxBFGS                 BFGS, conjugate gradient, SANN and Nelder-Mead
                        Maximization
maxLik                  Maximum likelihood estimation
maxLik-package          Maximum Likelihood Estimation
maxNR                   Newton- and Quasi-Newton Maximization
maximType               Type of Minimization/Maximization
nIter                   Return number of iterations for iterative
                        models
nObs.maxLik             Number of Observations
nParam.maxim            Number of model parameters
numericGradient         Functions to Calculate Numeric Derivatives
returnCode              Success or failure of the optimization
summary.maxLik          summary the Maximum-Likelihood estimation
summary.maxim           Summary method for maximization
sumt                    Equality-constrained optimization
vcov.maxLik             Variance Covariance Matrix of maxLik objects
