Package index • maxLik

All functions
`activePar()`	free parameters under maximization
`bread(<maxLik>)`	Bread for Sandwich Estimator
`compareDerivatives()`	function to compare analytic and numeric derivatives
`condiNumber()`	Print matrix condition numbers column-by-column
`confint(<maxLik>)`	confint method for maxLik objects
`fnSubset()`	Call fnFull with variable and fixed parameters
`estfun(<maxLik>)` `gradient(<maxim>)`	Extract Gradients Evaluated at each Observation
`hessian()`	Hessian matrix
`logLik(<maxLik>)` `logLik(<summary.maxLik>)`	Return the log likelihood value
`maxBFGS()` `maxCG()` `maxSANN()` `maxNM()`	BFGS, conjugate gradient, SANN and Nelder-Mead Maximization
`MaxControl-class` `maxControl` `maxControl,MaxControl-method` `maxControl,missing-method` `maxControl,maxim-method` `show,MaxControl-method`	Class `"MaxControl"`
`checkFuncArgs` `constrOptim2` `maximMessage` `maxNRCompute` `observationGradient` `print.summary.maxLik` `returnCode.maxim`	Internal maxLik Functions
`AIC(<maxLik>)` `coef(<maxim>)` `coef(<maxLik>)` `stdEr(<maxLik>)`	Methods for the various standard functions
`maxLik-package`	Maximum Likelihood Estimation
`maxLik()`	Maximum likelihood estimation
`maxNR()` `maxBFGSR()` `maxBHHH()`	Newton- and Quasi-Newton Maximization
`maxSGA()` `maxAdam()`	Stochastic Gradient Ascent
`maxValue()`	Function value at maximum
`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()` `numericHessian()` `numericNHessian()`	Functions to Calculate Numeric Derivatives
`objectiveFn()`	Optimization Objective Function
`returnCode()` `returnMessage()`	Success or failure of the optimization
`storedValues()` `storedParameters()`	Return the stored values of optimization
`summary(<maxLik>)` `coef(<summary.maxLik>)`	summary the Maximum-Likelihood estimation
`summary(<maxim>)` `print(<summary.maxim>)`	Summary method for maximization
`sumt()`	Equality-constrained optimization
`tidy(<maxLik>)` `glance(<maxLik>)`	tidy and glance methods for maxLik objects
`vcov(<maxLik>)`	Variance Covariance Matrix of maxLik objects

Reference

All functions