This is a JavaScript library for calculating the cumulative distribution function (CDF) of a chi-squared distribution, part of the stdlib numerical library. It provides functions to compute the probability that a chi-squared random variable with given degrees of freedom is less than or equal to a specified value, useful for statistical analysis and hypothesis testing.
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Support the dependencies of stdlib-js/stats-base-dists-chisquare-cdf
C APIs for registering a Node-API module exporting an interface for invoking a binary numerical function.
Gamma distribution cumulative distribution function (CDF).
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.
Test if a double-precision floating-point numeric value is NaN.
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.
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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