This package provides a function to evaluate the probability mass function (PMF) of a geometric distribution, which models the number of failures before the first success in a sequence of independent Bernoulli trials. It's part of the stdlib project, a comprehensive JavaScript library for numerical and scientific computing, and is intended for developers working on statistical analysis or probabilistic modeling tasks.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/stats-base-dists-geometric-pmf
Test if a double-precision floating-point numeric value is NaN.
Test if a finite double-precision floating-point number is a nonnegative integer.
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
Exponential function.
Constant function.
Define a non-enumerable read-only property.
Load a manifest for compiling source files.
Float64Array.
Insert array element values and the result of a callback function into a format string and print the result.
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
Double-precision floating-point positive infinity.
Compute the absolute value of a double-precision floating-point number.
Round a numeric value to the nearest integer.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Discrete uniform distributed pseudorandom numbers.
Uniformly distributed pseudorandom numbers.
Wrap `require` in a try/catch block.
tap-producing test harness for node and browsers
Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use ca
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on this repository
Top contributors
stdlib-bot
73 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet