maxLik: A package for maximum likelihood estimation in R

• Published in: Computational statistics Vol. 26; no. 3; pp. 443 - 458
• Main Authors: Henningsen, Arne, Toomet, Ott
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.09.2011; Springer Nature B.V
• Subjects: Algorithms; Computation; Economic Theory/Quantitative Economics/Mathematical Methods; Freeware; Mathematics and Statistics; Maximum likelihood estimation; Maximum likelihood method; Methods; Normal distribution; Optimization; Optimization algorithms; Original Paper; Packages; Probability and Statistics in Computer Science; Probability Theory and Stochastic Processes; Routines; Software; Software packages; Standard error; Statistics; Studies; Optimization; C87; Maximum likelihood

This paper describes the package maxLik for the statistical environment R. The package is essentially a unified wrapper interface to various optimization routines, offering easy access to likelihood-specific features like standard errors or information matrix equality (BHHH method). More advanced fe...