Search results
142 packages found
Samples standard normal distribution
random number generator for the unit normal distribution
Truncated normal distribution probability density function (PDF)
A lightweight TypeScript package used to model normal distributions
Generate random numbers with different distributions
Fast deterministic random methods. Includes Uniform, Gaussian, gaming distributions, shuffles and antisort
Calculates the inverse of the normal cumulative distribution for the specified mean and standard deviation.
A JavaScript model of a Gaussian distribution
Seedable random generator supporting many common distributions. Random numbers and string generation.
- random
- number
- generator
- rng
- prng
- stats
- d3-random
- seedrandom
- distribution
- pseudorandom
- uniform
- normal
- gaussian
- lognormal
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Box Muller algorithm implementation
Tools used to understand or work with numbers in Node.JS, Javascript and derivatives.
- number
- numbers
- math
- theory
- abundant
- adaptive simpson
- addition
- affine
- arithmetic
- basic
- bates
- binomial
- box muller
- box muller transform
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Seedable random number generator supporting many common distributions.
- random
- number
- generator
- rng
- prng
- stats
- d3-random
- seedrandom
- distribution
- pseudorandom
- uniform
- normal
- gaussian
- lognormal
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Pseudo Normal Number Generator. Generates random numbers with given standard distribution and mean.
generate gaussian noise
Create functions to generate random values.
A tiny library providing for creating a variety of random value generators.
Random number generation utilities from simjs
A library for calculating the PDF, CDFs, and quantile function values of common probability distributions
- probability
- distribution
- cdf
- density
- cumulative
- quantile
- normal
- gaussian
- student's
- t
- F
- chi-square
- gamma
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Port of NumPy's random.multivariate_normal to Node.JS
Generate random numbers from a Normal distribution