activePar | free parameters under maximisation |
AIC.maxLik | Methods for the various standard functions |
coef.maxLik | Maximum likelihood estimation |
compareDerivatives | function to compare analytic and numeric derivatives |
condiNumber | Print matrix condition numbers column-by-column |
fnSubset | Call fnFull with variable and fixed parameters |
hessian | Hessian matrix |
logLik.maxLik | Return the log likelihood value |
logLik.summary.maxLik | Return the log likelihood value |
maxBFGS | BFGS, SANN and Nelder-Mead Maximization |
maxBHHH | BHHH Maximization |
maximType | Type of Minimization/Maximization |
maxLik | Maximum likelihood estimation |
maxNM | BFGS, SANN and Nelder-Mead Maximization |
maxNR | Newton-Raphson Maximization |
maxSANN | BFGS, SANN and Nelder-Mead Maximization |
nIter | Return number of iterations for iterative models |
nObs | Return number of observations for statistical models |
nParam | Number of model parameters |
numericGradient | Functions to Calculate Numeric Derivatives |
numericHessian | Functions to Calculate Numeric Derivatives |
numericNHessian | Functions to Calculate Numeric Derivatives |
returnCode | Return code for optimisation and other objects |
returnMessage | Information about the optimisation process |
summary.maxim | Summary method for maximisation/minimisation |
summary.maxLik | summary the Maximum-Likelihood estimation |
vcov.maxLik | Variance Covariance Matrix of maxLik objects |