bbmle: Tools for General Maximum Likelihood Estimation (original) (raw)

Methods and functions for fitting maximum likelihood models in R. This package modifies and extends the 'mle' classes in the 'stats4' package.

Version: 1.0.25.1
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: 2023-12-09
DOI: 10.32614/CRAN.package.bbmle
Author: Ben Bolker ORCID iD [aut, cre], R Development Core Team [aut], Iago Giné-Vázquez [ctb]
Maintainer: Ben Bolker
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/bbolker/bbmle
NeedsCompilation: no
Materials: NEWS
CRAN checks: bbmle results

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: anovir, fitode, frair, sads
Reverse imports: bivgeom, curesurv, DEsingle, econet, emdbook, fitODBOD, fusionclust, HiCDCPlus, Luminescence, M3Drop, mcount, metaplus, mistr, Petersen, RJafroc, robmixglm, rstpm2, sbd, scRecover, ss3sim
Reverse suggests: broom, copula, epimdr, epimdr2, glmmTMB, insight, nlraa, parameters, pctax, primer, R2admb, rcaiman, SEERaBomb

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