Maximum Likelihood Estimation


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Documentation for package ‘maxLik’ version 0.5-10

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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