2 unstable releases
0.2.0 | Aug 21, 2021 |
---|---|
0.1.0 | Aug 18, 2021 |
#1681 in Math
23KB
430 lines
random-distributions-cli
Command-line tool to generate samples of various random distributions
Installation
You can download pre-built files from Github releases or install the tool from crates.io using cargo install random-distributions-cli
.
Usage
$ random-distributions-cli -n 5 normal 0 1
0.2691767185
-1.1783043912
0.5623772742
0.1078446497
0.2829313503
$ target/release/random-distributions-cli -n 3 uniform -- -1 1
0.0218074136
0.4381694923
-0.7817481855
$ random-distributions-cli --help
Usage: random-distributions-cli [-p <precision>] [-C] [-S <seed>] [-b <binary-format>] [-n <num-samples>] [-e] [-L <discard-below>] [-H <discard-above>] <command> [<args>]
Command-line tool to generate samples of various random distributions.
Options:
-p, --precision number of digits after decimal to print
-C, --cumulative add value of each sample to accumulator, outputting a random
walk instead of individual samples
-S, --seed use specified seed instead for PRNG
-b, --binary-format
output as binary numbers of specified format instead of
text. Valid formats are f{32,64}{be,le}, {u,s}8,
{u,s}{16,32,64}{le,be}. Out of range values are
clamped to valid ranges
-n, --num-samples number of sampels to generate, instead of an infinite stream
-e, --exponentiate
exponentiate (e^x) each sample, producing log-normal instead
of normal distribution, log-Cauchy instead of Cauchy, etc.
-L, --discard-below
discard samples that are below the specified value
-H, --discard-above
discard samples that are above the specified value
--help display usage information
Commands:
uniform Uniform distribution
normal Normal, Gaussian distribution
cauchy Cauchy, Lorentz distribution - fat-tailed and continuous
triangular Triangular distribution - continuous
studentt Student-T distribution
stable General case of stable continuous distribution, generated by
CMS method. Note that version 0.1 of this program used
nonstandard distribution when alpha was not 1.0.
empirical Discrete distribution that just endlessly randomly selects
one of specified values
categorical Discrete distribution that generates values according to
specified probabilities
beta Beta distribution
binomial Binomial distribution
discreteuniform Discrete uniform, generates integer numbers from min to max,
both inclusive
chisquared Chi-squared distribution which is a special case of the
Gamma distribution
chi Chi distribution
gamma Gamma distribution
exp Exponential distribution and is a special case of the Gamma
distribution
fisher Fisher-Snedecor distribution also commonly known as the
F-distribution
geometric Geometric distribution
hypergeometric Hypergeometric distribution
inversegamma Inverse Gamma distribution
laplace Laplace distribution.
pareto Pareto distribution
poisson Poisson distribution
weibull Weibull distribution
Individual distributions may provide additional internal --help
messages.
Dependencies
~7.5MB
~149K SLoC