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#glmmtmb — Public Fediverse posts

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  1. Has anyone an idea if it is appropriate (and if so, how?) to model a dispersion parameter in #glmmTMB (as alternative to robust/HC standard errors) when inverse probability weights are included in the model? For which parameter(s) should the dispersion be modeled? @bbolker.bsky.social maybe?

    RE: https://bsky.app/profile/did:plc:5kx3l44skokbyab6ycny437w/post/3lix6fep4qc2c

  2. I have just realised that {glmmTMB} has been downloaded far too rarely so far. Maybe people haven't recognized how flexible and strong this package became? Install it now, it's the {brms} in the frequentist world! cran.r-project.org/package=glm #rstats #glmmTMB

  3. Hey #mixedmodel #rstats peeps - anyone know of a package or function that does for #glmmTMB what merTools::predictInterval() does for #lme4? #wantingToMoveEverythingOver

  4. #glmmTMB was just updated on CRAN and has some nice new features, e.g. ordered beta regression: cran.r-project.org/web/package #rstats