Comments (3)
I guess the wider issue is how to best report marginal effects in writing - that's where this would be extremely useful.
from report.
Thanks for suggesting this feature. Maybe (at least) one thing we need to think about is how to qualify the "strength" of an effect/difference/contrast in terms of some kind of standardized effect size.
from report.
That makes sense - and feel free to rename the issue if it would be better as a starting point on reporting marginal effects in general.
Are there any current standard ways to report marginal effects in research papers? Would you have a reference at hand I could look through, or a guide of sorts?
from report.
Related Issues (20)
- problems using group_by with cor.test report HOT 1
- ANOVA report missing 2nd degrees of freedom
- Missing citation for Allie Brosh's "All the Things" image HOT 2
- Can not report models/objects derived from function in pysch package
- Fix contrast errors coming from a customization that only the report website template is using HOT 2
- My hub
- t.test sign interpretation HOT 1
- Gender vs Sex mismatch in report_participants HOT 1
- Test failing on CRAN HOT 1
- Change how unspecified `...` arguments are passed to other functions HOT 1
- Fix all new failing checks HOT 1
- Fix `check-test-warnings` workflow: "Global state has changed" in `test-report.brmsfit` HOT 4
- report() not outputting denominator degrees of freedom HOT 3
- report() assigning effect size to intercept in model HOT 4
- report.loo_compare docs example broken HOT 3
- Fail to compute report for Kruskal test in some cases HOT 1
- Cannot use custom rule when interpreting the effect size of a t-test
- Custom rule not correctly reported as such
- `.report_effectsize_ttest` called without proper `table`
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from report.