This package provides a function for evaluating the natural logarithm of the cumulative distribution function (CDF) for a Student's t distribution, which is useful for statistical analysis and probability calculations. It is designed for developers working with statistical computations in JavaScript, particularly those using the stdlib library for numerical and scientific computing.
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Natural logarithm of 1/2.
Test if a double-precision floating-point numeric value is NaN.
Incomplete beta function.
Evaluate the natural logarithm of a double-precision floating-point number.
Evaluate the natural logarithm of 1+x.
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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