maxLik: Maximum Likelihood Estimation and Related Tools

Functions for Maximum Likelihood (ML) estimation and non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the ML viewpoint. It also includes a number of convenience tools for testing and developing your own models.

Version: 1.3-4
Depends: R (≥ 2.4.0), miscTools (≥ 0.6-8), methods
Imports: sandwich
Published: 2015-11-09
Author: Ott Toomet, Arne Henningsen, with contributions from Spencer Graves and Yves Croissant
Maintainer: Ott Toomet <otoomet at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: maxLik citation info
Materials: NEWS
In views: Optimization
CRAN checks: maxLik results


Reference manual: maxLik.pdf
Package source: maxLik_1.3-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: maxLik_1.2-4.tgz, r-oldrel: maxLik_1.2-4.tgz
OS X Mavericks binaries: r-release: maxLik_1.3-4.tgz
Old sources: maxLik archive

Reverse dependencies:

Reverse depends: censReg, games, gmnl, hermite, ihs, IntLik, intReg, lmmot, mhurdle, mlogit, mlogitBMA, mvProbit, oglmx, pglm, PrevMap, Rchoice, sampleSelection, spfrontier, ssfa, truncreg
Reverse imports: DirichletReg, HiDimMaxStable, paramlink, rDEA, splm, Zelig
Reverse suggests: CollocInfer, micEconCES, surveillance