bbmle: Tools for General Maximum Likelihood Estimation

Methods and functions for fitting maximum likelihood models in R.

Version: 1.0.22
Depends: R (≥ 3.0.0), stats4
Imports: stats, numDeriv, lattice, MASS, methods, bdsmatrix, Matrix, mvtnorm
Suggests: emdbook, rms, ggplot2, RUnit, MuMIn, AICcmodavg, Hmisc, optimx (≥ 2013.8.6), knitr, testthat
Published: 2019-12-19
Author: Ben Bolker [aut, cre], R Development Core Team [aut], Iago Giné-Vázquez [ctb]
Maintainer: Ben Bolker <bolker at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/bbolker/bbmle
NeedsCompilation: no
Materials: NEWS
CRAN checks: bbmle results

Downloads:

Reference manual: bbmle.pdf
Vignettes: Examples for enhanced mle code
quasi: notes on quasi-likelihood/qAIC analysis inR
Package source: bbmle_1.0.22.tar.gz
Windows binaries: r-devel: bbmle_1.0.22.zip, r-devel-gcc8: bbmle_1.0.22.zip, r-release: bbmle_1.0.22.zip, r-oldrel: bbmle_1.0.22.zip
OS X binaries: r-release: bbmle_1.0.22.tgz, r-oldrel: bbmle_1.0.22.tgz
Old sources: bbmle archive

Reverse dependencies:

Reverse depends: frair, sads
Reverse imports: bivgeom, econet, emdbook, fitODBOD, fusionclust, Luminescence, metaplus, mistr, RJafroc, robmixglm, rstpm2, ss3sim
Reverse suggests: broom, copula, epimdr, glmmTMB, nlraa, primer, R2admb, SEERaBomb

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