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Hello. I was looking through the examples. Group sequential testing should be a variant of the sequential example? @iampelle ?
As Spotify today announced their upcoming commercial product with the same name as this, and it has a similar user case, what will happen to this project? Will this be...
Just curious, is there a plan to integrate the sequential test / adaptive test(like multi-armed bandit) method into the package? Or any recommendation to build on top of the current...
We are considering using Spotify confidence to report on all the experiments running on our experimentation platform. So, I did some tests by running a sample of our data (see...
I'm a bit confused why the `powered_effect` is not calculated in the `StudentsTTest` but it's provided in `ZTest`. The above is the data frame which I passed into both ```...
If you could tell me. I can't fully understand it from the code
I'm trying to use the lib for the first time, for a sequential test. I'm getting an exception "ValueError: Information ratio must be monotonically increasing", but I don't know what...
We discovered that multiple correction methods other than Bonferroni did not apply any corrections. After troubleshooting it was discovered that this is due to the dataframe with comparisons being sent...
Hi, running spotify_confidence in ipynb, the following happens when running this line of code: ``` # Set df df = import.groupby(['exp_var']).agg({'participants': 'count', k: 'sum'}).reset_index() # Set priors df['prior_alpha'] = 10000...
I can't seem to find much info on how to exactly evaluate both binomial and non-binomial metrics at the same time within a dataframe that gets input within the Experiment...
