typesim
Discrete event simulation with TypeScript
Discrete event simulation with TypeScript
Simple pure Javascript implementation of the Cooley-Tukey algorithm. Note: fft-js was chosen as the name since a lot of the FFT implementations on NPM at the time this was published were wrappers for Ruby or C.
Perform a chi-square independence test.
Hypergeometric distributed pseudorandom numbers.
Create an array containing pseudorandom numbers drawn from a negative binomial distribution.
Create an array containing pseudorandom numbers drawn from a Poisson distribution.
Create an array containing pseudorandom numbers drawn from a binomial distribution.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a geometric distribution.
Create an array containing pseudorandom numbers drawn from a hypergeometric distribution.
Discrete uniform distributed pseudorandom numbers.
Geometric distributed pseudorandom numbers.
Bernoulli distributed pseudorandom numbers.
Create an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.
Create an iterator for generating pseudorandom numbers drawn from a binomial distribution.
Create an iterator for generating pseudorandom numbers drawn from a discrete uniform distribution.
Create an iterator for generating pseudorandom numbers drawn from a geometric distribution.
Create an array containing pseudorandom numbers drawn from a Bernoulli distribution.
Test if a value is an array of probabilities that sum to one.
Evaluate the Kronecker delta.