Functions for Maximum Likelihood (ML) estimation, 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 Maximum Likelihood viewpoint. It also includes a number of convenience tools for testing and developing your own models.
Version: | 1.4-8 |
Depends: | R (≥ 2.4.0), miscTools (≥ 0.6-8), methods |
Imports: | sandwich |
Suggests: | testthat, MASS, clue, dlm, plot3D |
Published: | 2021-03-22 |
Author: | Ott Toomet, Arne Henningsen, with contributions from Spencer Graves and Yves Croissant |
Maintainer: | Ott Toomet <otoomet at gmail.com> |
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 |
Vignettes: |
Introduction: what is maximum likelihood SGA introduction: the basic usage of maxSGA Maximum likelihood estimation with maxLik |
Package source: | maxLik_1.4-8.tar.gz |
Windows binaries: | r-devel: maxLik_1.4-8.zip, r-release: maxLik_1.4-8.zip, r-oldrel: maxLik_1.4-8.zip |
macOS binaries: | r-release (arm64): maxLik_1.4-8.tgz, r-release (x86_64): maxLik_1.4-8.tgz, r-oldrel: maxLik_1.4-8.tgz |
Old sources: | maxLik archive |
Reverse depends: | censReg, games, gmnl, hermite, IntLik, lmmot, mhurdle, mlogitBMA, mvProbit, nmm, oglmx, pglm, PrevMap, Rchoice, rumidas, sampleSelection, ssfa, truncreg |
Reverse imports: | afdx, AGPRIS, apollo, autostsm, BLOQ, dccmidas, DEsingle, DirichletReg, DWreg, emhawkes, endoSwitch, fastR2, fitteR, GeneAccord, good, lmvar, mclcar, metaSDTreg, mfGARCH, mixl, nhm, ohenery, paramlink, plm, predkmeans, rDEA, sensmediation, sfaR, sigInt, splm, starvars, tcensReg, ui, Zelig |
Reverse suggests: | coefplot, CollocInfer, micEconCES, surveillance, urbin |
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