This npm package provides a function to compute the cumulative distribution function (CDF) for the Student's t-distribution, a common tool in statistical hypothesis testing. It is designed for JavaScript developers and researchers performing statistical analysis in Node.js or browser environments using the stdlib standard library
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Support the dependencies of stdlib-js/stats-base-dists-t-cdf
Test if a double-precision floating-point numeric value is NaN.
Incomplete beta function.
Exponential function.
Constant function.
Define a non-enumerable read-only property.
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 negative infinity.
Double-precision floating-point positive infinity.
Compute the absolute value of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
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.
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