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Thank you for the excellent package! I was wondering if this package could provide credible intervals for each variant when reporting A/B testing results.
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Hi Zhaokg,
I am working with just one timeseries of 1 period and I am detecting correctly the changepoints and its change in trend. However, I would like to have some deeper insights and tools to s…
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Dear creators,
I noticed that there are differences between `summary(fit)` and `parameterEstimates(fit)`.
The `parameterEstimates()` function seems to be identical to its `lavaan` counterpart, …
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Functions in `plots` module have `aes_kwargs`, `plot_kwargs`, `stats_kwargs` whose keys we need to define. We should define how we want those to behave and document whatever naming conventions we are …
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I see two options for this addition:
1. include an argument in the summary function such as `quantile_probs` to be able to modify the quantile function's probabilities when applied to A and B's poste…
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Dear Nathan,
Thank you so much to share your R codes based on the analyses performed in Harris et al. 2018. I really liked your paper and your approach on stable isotope analyses. I would like also…
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Hello :)
I have outlined the request (an 'issue' at the time of posting it at the forum but I've since been told that it is not possible in the current version of JASP) at the link below,
https:…
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Bayesian credible intervals can currently be derived using quantiles. Would it be possible to implement an HDI interval as well?
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* Enhancement: Include the possibilty to get descriptive plots with Credible intervals that are not based on a uniform prior (e.g. include the possibility to get CI from the model one has fitted)
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"But in cases where batters got 1 or 2 hits out of 10, the credible interval is much narrower than the credible interval."
should say credible interval is much narrower than the confidence interval