This project provides a function to calculate the differential entropy of a Student's t distribution with a given degrees of freedom parameter. It is part of the stdlib JavaScript library, aimed at numerical and scientific computing in web environments.
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Support the dependencies of stdlib-js/stats-base-dists-t-entropy
Test if a double-precision floating-point numeric value is NaN.
C APIs for registering a Node-API module exporting an interface for invoking a unary numerical function.
Beta function.
Digamma function.
Evaluate the natural logarithm of a double-precision floating-point number.
Compute the principal square root of a double-precision floating-point number.
Load a manifest for compiling source files.
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.
Compute the absolute value of a double-precision floating-point number.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Insert supplied variable values into a format string.
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.
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