This project provides a function to compute the inverse of the lower incomplete beta function, which is used in statistical calculations. It is part of stdlib, a JavaScript library for numerical and scientific computing, and is intended for developers working on mathematical or statistical applications in Node.js or web browsers.
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Support the dependencies of stdlib-js/math-base-special-kernel-betaincinv
Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.
1/2 times π.
Maximum double-precision floating-point number.
Smallest positive double-precision floating-point normal number.
Smallest positive double-precision floating-point number.
Square root of 2.
Compute the absolute value of a double-precision floating-point number.
Compute the arccosine of a double-precision floating-point number.
Compute the arcsine of a double-precision floating-point number.
Beta function.
Incomplete beta function.
Compute the cosine of a number.
Inverse complementary error function.
Natural exponential function.
Compute exp(x) - 1.
Round a double-precision floating-point number toward negative infinity.
Compute the ratio of two gamma functions.
Inverse incomplete gamma function.
Incomplete beta function and its first derivative.
Multiply a double-precision floating-point number by an integer power of two.
Evaluate the natural logarithm of a double-precision floating-point number.
Evaluate the natural logarithm of 1+x.
Return the maximum value.
Return the minimum value.
Exponential function.
Round a numeric value to the nearest integer.
Evaluate the signum function for a double-precision floating-point number.
Compute the sine of a number.
Compute the principal square root of a double-precision floating-point number.
Evaluate a polynomial using double-precision floating-point arithmetic.
Test if a value is an array-like object of numbers.
Write data to a file.
Continued fraction approximation.
Compile a module for evaluating a polynomial.
Compute the sum of an infinite series.
Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.
Uniformly distributed pseudorandom numbers between 0 and 1.
Current year.
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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