Inverse incomplete beta function.
JavaScript
2
0
Apache License 2.0
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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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.
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Benchmark harness.
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