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parameters 0.26.0
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@strengejacke strengejacke released this 22 May 06:05
· 38 commits to main since this release
v0.26.0
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Changes

  • The effects argument in model_parameters() for classes merMod, glmmTMB,
    brmsfit and stanreg gets an additional "grouplevel" option, to return
    the group-level estimates for random effects.

  • model_parameters() for Anova-objects gains a p_adjust argument, to apply
    p-adjustment where possible. Furthermore, for models from package afex, where
    p-adjustment was applied during model-fitting, the correct p-values are now
    returned (before, unadjusted p-values were returned in some cases).

  • Revised code-base to address changes in latest insight update. Dealing with
    larger models (many parameters, many posterior samples) from packages brms
    and rstanarm is more efficient now. Furthermore, the options for the
    effects argument have a new behaviour. "all" only returns fixed effects
    and random effects variance components, but no longer the group level
    estimates. Use effects = "full" to return all parameters. This change is
    mainly to be more flexible and gain more efficiency for models with many
    parameters and / or many posterior draws.

  • model_parameters() for Anova objects gains an include_intercept argument,
    to include intercepts in the Anova table, where possible.

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