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Hi @patrick-wilken ,
I think it would be great to offer the opportunity to score statistical significance between two hypotheses. This can be done with bootstrap resampling, even though the main ch…
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Currently, *glmmTMB* does not report uncertainty intervals for estimated group-level coefficients (result of `coef()`), but the information needed is available in the model (see https://github.com/glm…
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Emailed issue from Miguel Portela: When using 'ggdid' I am not able to set the significance level at a value different from 0.05. Even if I set an alp value in att_gt at, for example, 0.01, it does no…
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`mosaic::sample()` handles a multi-column data frame just fine. No need to select just one variable.
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First, nice job on Hyperfine!
I use it in academic research, where I'll be computing p-values to describe the confidence with which the sample data suggests that one program is faster than anothe…
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**Description**
When a nominal vector has a lot of levels, and we compute a Kruskal test between this vector and a numerical one, the kruskal.test() function works fine, and returns fast. But the cal…
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If a user has, for example, Hedge's g values and variances, there is no way to calculate a 95% confidence interval.
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- add possibility to bootstrap data to generate confidence intervals to ROC curve and for AUROC value
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This is a request received by email:
I’m using your excelled rwa function in R to extract some relative weights from OLS regressions I’m running. I’m wondering, within your function, is there any…
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We should add confidence intervals (errorbars) for the computed deviations.
For most common deviations the equivalent degrees of freedom are already computed in **uncertainty_estimate()**
However it …