Package index

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