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Great development! I just wonder if there are ways to add confidence intervals into the plots?
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### Expected behavior
plot adjusted survival curves with confidence intervals
### Actual behavior
there is not options to add errorbars
### Test
ggadjustedcurves(fit2, data = bladder, method = …
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### Expected behavior
conf.int argument is ignored
### Actual behavior
plot confidence intervals in plots
### Steps to reproduce the problem
library(survival)
fit2
````
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since we have several different types of correlations for which p values are not straightforward, would be nice to include a method for bootstrapped CI. Any advice?
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At the moment we only have confidence intervals for the t-test and binomial test. We should also have confidence intervals for:
- [x] Sign test
- [x] Fisher's exact test
- [x] Signed rank test
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We could add an option to l_ciLines, l_ciContour etc that allows to get simultaneous credible intervals using the approach described in section 6.10.2 of Wood's book (2nd ed).
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Are there any guidelines or suggestions on how I can try to narrow the confidence interval of my yhat forecast?
Thanks!
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I can estimate CATEs and their confidence intervals easily enough using `estimator.effect(X=X, T0=T0, T1=T1)` and `estimator.effect_interval(X=X, T0=T0, T1=T1)`. However, what about (unconditional) av…
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E.g., for plot_compare_evokeds: we could have *inferential* CIs, i.e., so that non overlap of CIs indicates significance.
Ideally with correction for multiple contrasts or something ...
See:
ht…