maxLik: 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.
Version:
1.5-2.1
Depends:
R (≥ 2.4.0),
miscTools (≥ 0.6-8), methods
Published:
2024年03月24日
Author:
Ott Toomet [aut, cre],
Arne Henningsen [aut],
Spencer Graves [ctb],
Yves Croissant [ctb],
David Hugh-Jones [ctb],
Luca Scrucca [ctb]
Maintainer:
Ott Toomet <otoomet at gmail.com>
NeedsCompilation:
no
Documentation:
Downloads:
Reverse dependencies:
Reverse depends:
censReg,
gmnl,
hermite,
lmmot,
mlogitBMA,
mvProbit,
pglm,
Rchoice,
rumidas,
sampleSelection,
ssfa,
truncreg
Reverse imports:
afdx,
AGPRIS,
apollo,
autostsm,
biodosetools,
BLOQ,
countDM,
dccmidas,
DEsingle,
DirichletReg,
DWreg,
emhawkes,
endogeneity,
fastR2,
fitteR,
GenMarkov,
heckmanGE,
lboxcox,
metaSDTreg,
mfGARCH,
mhurdle,
mixl,
MVSKmod,
nhm,
nonprobsvy,
ohenery,
OPSR,
PanelSelect,
paramlink,
plm,
rDEA,
sensmediation,
Sequential,
sfaR,
sigInt,
spldv,
splm,
Surrogate,
SurvMA,
ui,
ZIDW
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