random
Seedable random number generator supporting many common distributions.
Found 67 results for lognormal
fast-stats
Quickly calculate common statistics on lists of numbers
@stdlib/random-base-lognormal
Log-normally distributed pseudorandom numbers.
lib-r-math.js
Javascript Implementation of Statistical R standalone library rnmath
@stdlib/stats-base-dists-lognormal-cdf
Lognormal distribution cumulative distribution function (CDF).
@stdlib/stats-base-dists-lognormal-mean
Lognormal distribution expected value.
@stdlib/stats-base-dists-lognormal-entropy
Lognormal distribution differential entropy.
@stdlib/stats-base-dists-lognormal-stdev
Lognormal distribution standard deviation.
@stdlib/stats-base-dists-lognormal-logcdf
Natural logarithm of the cumulative distribution function (CDF) for a lognormal distribution.
@stdlib/stats-base-dists-lognormal
Lognormal distribution.
@stdlib/stats-base-dists-lognormal-skewness
Lognormal distribution skewness.
@stdlib/stats-base-dists-lognormal-ctor
Lognormal distribution constructor.
@stdlib/stats-base-dists-lognormal-median
Lognormal distribution median.
@stdlib/stats-base-dists-lognormal-quantile
Lognormal distribution quantile function.
@stdlib/stats-base-dists-lognormal-kurtosis
Lognormal distribution kurtosis.
@stdlib/stats-base-dists-lognormal-pdf
Lognormal distribution probability density function (PDF).
@stdlib/stats-base-dists-lognormal-variance
Lognormal distribution variance.
@stdlib/stats-base-dists-lognormal-logpdf
Natural logarithm of the probability density function (PDF) for a lognormal distribution.
@stdlib/stats-base-dists-lognormal-mode
Lognormal distribution mode.
prob.js
Generate random numbers from different probability distributions.
@lazy-random/df-algorithm
@lazy-random/df-array
grosso-modo
random number generator for specified confidence interval
@lazy-random/generators-seedrandom
@lazy-random/distributions
@lazy-random/df-char-id
@lazy-random/array-algorithm
@lazy-random/rng-abstract-core
@lazy-random/cross-crypto
@lazy-random/util-distributions
@lazy-random/df-uuid
@lazy-num/sum
@lazy-random/random-core
@stdlib/random-iter-lognormal
Create an iterator for generating pseudorandom numbers drawn from a lognormal distribution.
@lazy-random/util-probabilities
random-extra
Seedable random number generator supporting many common distributions.
@lazy-random/df-uniform
@lazy-random/generators-xor128
@lazy-random/generators-crypto
@lazy-random/rng-factory
@lazy-random/df-poisson
@lazy-random/generators-math-random2
@lazy-random/df-sum
@lazy-random/df-item-by-weight
num-in-delta
check actual number is expected number ± delta
@lazy-num/parse-number-string
ts-random
Seedable random number generator supporting many common distributions.
@lazy-random/generators-xorshift128
wrap xorshift128+ to random number generator
random-esm
Seedable random number generator supporting many common distributions.
@lazy-random/util-test
@lazy-random/simple-wrap
web-vitals-distribution
Probability Distribution Utility for Web Vitals
@lazy-random/seed-algorithm
@lazy-num/max-safe-number
@stdlib/random-streams-lognormal-cli
Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.
@stdlib/random-streams-lognormal
Create a readable stream for generating pseudorandom numbers drawn from a lognormal distribution.
@stdlib/random-array-lognormal
Create an array containing pseudorandom numbers drawn from a lognormal distribution.
@lazy-random/seed-date
random-cjs
Seedable random number generator supporting many common distributions.
superrandom.js
Seedable random generator supporting many common distributions. Random numbers and string generation.
random-test2
Seedable random number generator supporting many common distributions.
cb-fast-stats
Quickly calculate common statistics on lists of numbers
@lazy-random/lib-r-math-rng
@stdlib/random-strided-lognormal
Fill a strided array with pseudorandom numbers drawn from a lognormal distribution.
@lazy-random/generators-sfc32
@lazy-num/float-algorithm
@punkeel/random
Seedable random number generator supporting many common distributions.