This package provides a function to evaluate the natural logarithm of the probability density function (PDF) for a Student's t-distribution, which is useful for statistical analysis and modeling. It is designed for developers working on numerical and scientific computing applications in JavaScript, particularly those who need to perform statistical calculations involving the t-distribution.
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Support the dependencies of stdlib-js/stats-base-dists-t-logpdf
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 binary numerical function.
Natural logarithm of the beta function.
Evaluate the natural logarithm of a double-precision floating-point number.
Exponential function.
Compute the principal square root of a double-precision floating-point number.
Constant function.
Define a non-enumerable read-only property.
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.
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 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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