stdlib-js

stdlib-js/stats-chi2test

Perform a chi-square independence test.

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Apache License 2.0
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Support the dependencies of stdlib-js/stats-chi2test

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Test if an object has a specified property.
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Test if a value is a boolean.
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Test if a value is a collection.
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Test if a value is NaN.
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Test if a value is a number having a nonnegative integer value.
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Test if a value is a number.
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Test if a value is a plain object.
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Test if a value is a number having a positive integer value.
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Calculate the sum of double-precision floating-point strided array elements using pairwise summation.
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Compute the absolute value of a double-precision floating-point number.
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Return the minimum value.
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Round a double-precision floating-point number to the nearest multiple of 10^n.
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Convert a linear index to an array of subscripts.
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Multidimensional array constructor.
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Insert supplied variable values into a format string.
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stdlib TypeScript type declarations.
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Define a non-enumerable read-only accessor.
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Define a non-enumerable read-only property.
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Format an error message for production.
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Test if an array-like value contains a search value.
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Test if a value is an object.
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Test if a value is a string.
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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.
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Return the maximum value.
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Multidimensional arrays.
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Discrete uniform distributed pseudorandom numbers.
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tap-producing test harness for node and browsers
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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 cases including unit tests, server side functional tests and browser tests. Built for scale
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Minimal TAP output formatter.
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Benchmark harness.
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Test if a value is ndarray-like.
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Multiply a double-precision floating-point vector by a constant.
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Add a constant to each element in a double-precision floating-point strided array.
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Return the number of elements in an array.
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Determine (nested) array dimensions.
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Convert a linear index in an array view to a linear index in an underlying data buffer.
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Calculate the minimum value of a double-precision floating-point strided array.
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Chi-squared distribution cumulative distribution function (CDF).
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Convert an ndarray buffer to a generic array.
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Flatten a two-dimensional nested array according to a callback function.

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