Distribution api

Probabilistic distributions protocol.

Exponential distribution based on inversion method.

Factory to create the distribution.

Proxy for kixi-stats distributions.

An uniform distribution, returning a double between a and b.

An uniform distribution of integers.

(registry) returns all distributions available in automaton-optimization.

Implements all mathematical basics functions compatible both with clj and cljs compiler and aiming at return the same results.

Calculation of gamma function

Pseudo random number generator. This protocol hides the complexity of the different random number generator. As many different implementations exists and none superseeds all others.

PRNG implementation built-in in your platform.

Prng tests.

Adapted from https://github.com/hugoduncan/criterium/blob/develop/src/criterium/well.clj.

PRNG stateless implementation based on xoroshoshiro128 algorithm.

A stateful prng definition.

Creates a stateful prng based on a stateless one.

Implements PRNG without state.

Functions manipulating set of numbers for probalistic analyzis.

A sample data stored in memory - a vector.

Contains a list of numerical data

time-based stores a value at a bucket in time.

An aggregate is a value object used to define a group of buckets that is homogeneously aggregated in bucket-aggregate.

Aggregates defines how an aggregator will be able to turn a bucket into a bucket-aggregate. It is a list of aggregate automatically sorted with their start-bucket. This list is used by a aggregator-item to create the aggregator.

An aggregator aggregates bucket into bucket-aggregate and the way back.

An aggregator-item enriches an aggregate with start-bucket-aggregate and end-bucket-aggregate. Many aggregator-item are contained in an aggregator.

Strategies to store data in tb-var.

Stores data in a contiguous data structure.

Stores data in a collection of time / data pair fashion.

tb-var that stores additive informations over time buckets.

A tb-var storing data through an aggregator.

A tb-var that stores a measure m done at bucket b that is true for all subsequent buckets after b unless a new measure is done, at a later bucket.

Time-based measures. This namespace could be used to creates new time-based implementation.