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maxLik (version 1.2-4)
Maximum Likelihood Estimation
Description
Tools for Maximum Likelihood Estimation
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Install
install.packages('maxLik')
Monthly Downloads
35,858
Version
1.2-4
License
GPL (>= 2)
Maintainer
Arne Henningsen
Last Published
December 31st, 2014
Functions in maxLik (1.2-4)
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returnMessage
Information about the optimisation process
logLik.maxLik
Return the log likelihood value
activePar
free parameters under maximisation
maxLik
Maximum likelihood estimation
vcov.maxLik
Variance Covariance Matrix of maxLik objects
AIC.maxLik
Methods for the various standard functions
sumt
Equality-constrained optimization
returnCode
Return code for optimisation and other objects
maxBFGS
BFGS, conjugate gradient, SANN and Nelder-Mead Maximization
nIter
Return number of iterations for iterative models
numericGradient
Functions to Calculate Numeric Derivatives
nObs.maxLik
Number of Observations
bread.maxLik
Bread for Sandwich Estimator
condiNumber
Print matrix condition numbers column-by-column
compareDerivatives
function to compare analytic and numeric derivatives
summary.maxLik
summary the Maximum-Likelihood estimation
fnSubset
Call fnFull with variable and fixed parameters
maxNR
Newton- and Quasi-Newton Maximization
maximType
Type of Minimization/Maximization
estfun.maxLik
Extract Gradients Evaluated at each Observation
maxLik-internal
Internal maxLik Functions
hessian
Hessian matrix
nParam.maxim
Number of model parameters
summary.maxim
Summary method for maximisation/minimisation