The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 [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 |
Reference manual: | bbmle.pdf |
Vignettes: |
Examples for enhanced mle code quasi: notes on quasi-likelihood/qAIC analysis inR |
Package source: | bbmle_1.0.25.1.tar.gz |
Windows binaries: | r-devel: bbmle_1.0.25.1.zip, r-release: bbmle_1.0.25.1.zip, r-oldrel: bbmle_1.0.25.1.zip |
macOS binaries: | r-release (arm64): bbmle_1.0.25.1.tgz, r-oldrel (arm64): bbmle_1.0.25.1.tgz, r-release (x86_64): bbmle_1.0.25.1.tgz, r-oldrel (x86_64): bbmle_1.0.25.1.tgz |
Old sources: | bbmle archive |
Reverse depends: | anovir, fitode, frair, sads |
Reverse imports: | bivgeom, curesurv, DEsingle, econet, emdbook, fbglm, 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 |
Please use the canonical form https://CRAN.R-project.org/package=bbmle to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.