Comments (1)
@bwiernik Not sure whether the same check can be applied to quasi-poisson or not?
from performance.
Related Issues (20)
- check_model error suggestions are not complete HOT 5
- Error and Incomplete Output Using performance::check_collinearity with Cox Models HOT 1
- Normality of Residuals of check_model is abnormal. HOT 2
- Revise compare_models() for Bayesian models HOT 5
- R-squared for glmmTMB (binomial) HOT 9
- check_model() bugged for lmer models *only* when run as part of an RMD chunk HOT 3
- check_predictions() fails when outcome is log-transformed and named like a valid function HOT 2
- Error in `check_model(<glmer>)` HOT 3
- Problems using `r2_nakagawa()` HOT 3
- check_model fails if dependent variable is labelled HOT 5
- Remove unnecessary `tryCatch()` statements targeting `insight::download_model()` HOT 2
- check_collinearity() does not work with orthogonal polynomials HOT 10
- Check for influential observations of GLM w/o numeric variables
- `check_model` not working for `brms::brm` with `Beta()` family HOT 3
- Comparing frequentist and Bayesian models
- 95 CI for rmse HOT 9
- ICC for `beta_family` not accurate HOT 25
- `check_zeroinflation()` not working with glmmTMB? HOT 2
- Confidence intervals for ICC, it seems that none of the `ci_method`s work (neither default, `boot` or `analytical`). HOT 11
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from performance.