Comments (6)
Behavior Research Methods is also super excited about software package papers lately.
from report.
I would vote for AMPPS.
from report.
Should we start working on this?
I think it's about time. The API is more or less stable; it's now just a matter of supporting more and more models.
from report.
I think before that issues to be fixed are:
- Solve the effectsize/parameters issue (on which one to rely)
- Communicate about how it currently works (so that all maintainers have some idea of the code logic)
- Have the code logic double (triple) checked because currently it might not be the most efficient one (it's slow, because there might be some duplicated operations)
I'll get to that at some point
from report.
I also agree with @DominiqueMakowski that those issues should be resolved first.
@IndrajeetPatil If indeed the API is stable (yay!) that probably deserves a vignette - currently the docs on the pkgdown site are lots of standalone examples. Would be great to see a more cohesive look at the package's functionality.
I suggest focusing on htest objects, g/lm models and data frames at first (before moving on to mixed models, Bayes, etc...)
from report.
I suggest focusing on htest objects, g/lm models and data frames at first (before moving on to mixed models, Bayes, etc...)
agreed, having those working well will already be a big thing
from report.
Related Issues (20)
- Unclear reporting HOT 1
- The model's explanatory power is "substantial" HOT 1
- What's the best way to provide appropriate attribution/citation? HOT 2
- Support models of class `gamm` HOT 2
- emmeans and beta regression support
- `report_participants()` should set age as numeric, accept more choices for gender
- report fails when model formulat built with stats::reformulate
- oneway.test: `Error in paste0(out$interpretation, " (", out$statistics, ")"): object 'out' not found`
- Add support for `kruskal.test()`
- Error: bad 'data': object 'data_std' not found HOT 3
- What is the expected behaviour for report(estimate_contrasts(model))?
- To-do: Clean-up names in outputs (`airquality$Month` instead of `as.factor(airquality$Month)`) HOT 1
- Why do the standardized beta values and CIs of a glm poisson regression model not differ from the unstandardized ones? HOT 8
- New CRAN release? HOT 1
- When using stats::t.test, the report() and report_table() function output displays "95 % CI" even if, say, conf.level = 0.975
- CRAN submission revedep check failed (*** Strong rev. depends ***: easystats SqueakR) HOT 7
- report does not work with BayesFactor models
- report_sample(): add indices names in caption instead of table HOT 1
- support for quantile regression
- Report Summary for Time Series Model Stats
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