stdlib-js/stats-padjust

Adjust supplied p-values for multiple comparisons via a specified method.

JavaScript

Apache License 2.0

This package provides functions to adjust p-values for multiple comparisons using various statistical methods, including Bonferroni correction, Benjamini-Hochberg procedure, and Holm's method. It's designed for researchers and data scientists working with statistical hypothesis testing who need to control for false discovery rates when performing multiple tests.

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Support the dependencies of stdlib-js/stats-padjust

stdlib-js/array-float64

Float64Array.

stdlib-js/array-int32

Int32Array.

stdlib-js/assert-is-integer

Test if a value is a number having an integer value.

stdlib-js/assert-is-probability-array

Test if a value is an array-like object containing only probabilities.

stdlib-js/assert-is-string

Test if a value is a string.

stdlib-js/constants-float64-pinf

Double-precision floating-point positive infinity.

stdlib-js/math-base-special-max

Return the maximum value.

stdlib-js/math-base-special-min

Return the minimum value.

stdlib-js/stats-base-cumax

Calculate the cumulative maximum of a strided array.

stdlib-js/stats-base-cumin

Calculate the cumulative minimum of a strided array.

stdlib-js/string-format

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stdlib-js/error-tools-fmtprodmsg

Format an error message for production.

stdlib-js/constants-float64-eps

Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

stdlib-js/math-base-special-abs

Compute the absolute value of a double-precision floating-point number.

stdlib-js/random-base-randu

Uniformly distributed pseudorandom numbers between 0 and 1.

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