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Currently, discrete distributions support samples, where a specific value of a distribution is chosen at random. However, other stable properties of a distribution are also interesting and could be supported. For example, the mean of a d6 dice is 3.5. Other properties that could be supported include quantiles, the median, range, minimum, maximum, mode, variance, standard deviation, and skewness.
I'm starting to work on some of these distribution properties, and I've already implemented mean, though the list of properties I gave in the issue body is probably too large for me to do in a single pull request. Would it make sense to split this issue into multiple issues so that I can correlate each issue to a pull request?
Currently, discrete distributions support samples, where a specific value of a distribution is chosen at random. However, other stable properties of a distribution are also interesting and could be supported. For example, the mean of a
d6
dice is 3.5. Other properties that could be supported include quantiles, the median, range, minimum, maximum, mode, variance, standard deviation, and skewness.The text was updated successfully, but these errors were encountered: