Maximum Likelihood Estimation and Related Tools

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.

Reference manual

install.packages("maxLik")

1.6-10 by Ott Toomet, 23 days ago

https://github.com/arne-henningsen/maxLik

Report a bug at https://github.com/arne-henningsen/maxLik/issues

Browse source code at https://github.com/cran/maxLik

Authors: Ott Toomet [aut, cre] , Arne Henningsen [aut] , Spencer Graves [ctb] , Yves Croissant [ctb] , David Hugh-Jones [ctb] , Luca Scrucca [ctb]

Documentation: PDF Manual

GPL (>= 2) license

Imports sandwich, generics

Depends on miscTools, methods

Suggests MASS, clue, dlm, plot3D, tibble, tinytest, knitr

Imported by AGPRIS, AlphaPowerHazard, BLOQ, BetaDanish, DWreg, DirichletReg, GammaFrailty, GammaFrailtySPC, GenMarkov, MVNGmod, MVSKmod, MultiFrailty, OPSR, PanelSelect, Surrogate, SurvMA, TKApprox, ZIDW, afdx, apollo, autostsm, countDM, dccmidas, ememax, endogeneity, fastR2, fitteR, flexCountReg, fracreg, heckmanGE, lboxcox, lillardhaz, metaSDTreg, mfGARCH, mhurdle, mixl, nhm, nonprobsvy, ohenery, paramlink, plm, pmlsp, rDEA, sampleSelection, sensmediation, sfaR, sigInt, spldv, splitpopsurv, splm, ui.