Maximum Likelihood Estimation

Documentation for package ‘maxLik’ version 0.5-10

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