This is an initial pre-release version of Swift Science. It contains:
- Three probability distributions types. All three fully embrace generics to let you strike your own balance between precision and performance. Sample random values from them and compute distribution statistics/probabilities.
- Normal
- Bernoulli
- Poisson
- Fourteen probability distribution protocols, paving the way for many more distributions to be added in the future. These protocols also allow clients to more easily define their own custom distributions.
- Methods to compute the sum, mean, sample variance, and population variance of any
Collectionfor which these statistics are defined; even for complex numbers. - A few mathematical utilities.
- And, of course, documentation built using DocC.
Try it out!