Standard library functions for computing statistics incrementally.
JavaScript
2
0
Apache License 2.0
This project is a JavaScript module from the stdlib library that provides functions for calculating a wide range of statistical measures incrementally, updating results as new data arrives without reprocessing historical values.
Total donated
Undistributed
Share with your subscribers:
Recipients
How the donated funds are distributed
Support the dependencies of stdlib-js/stats-incr
Compute a sample absolute Pearson product-moment correlation coefficient.
Compute a count incrementally.
Compute an unbiased sample covariance incrementally.
Compute an unbiased sample covariance matrix incrementally.
Compute the coefficient of variation (CV) incrementally.
Compute an exponentially weighted mean incrementally.
Compute an exponentially weighted standard deviation incrementally.
Compute an exponentially weighted variance incrementally.
Compute a geometric mean incrementally.
Grubbs' test for outliers.
Compute a harmonic mean incrementally.
Compute a corrected sample excess kurtosis incrementally.
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
Compute the mean absolute error (MAE) incrementally.
Compute a moving sample absolute Pearson product-moment correlation coefficient incrementally.
Compute the mean absolute percentage error (MAPE) incrementally.
Compute a maximum value incrementally.
Compute a maximum absolute value incrementally.
Compute a moving unbiased sample covariance incrementally.
Compute a moving coefficient of variation (CV) incrementally.
Compute the mean directional accuracy (MDA) incrementally.
Compute the mean error (ME) incrementally.
Compute an arithmetic mean incrementally.
Compute an arithmetic mean of absolute values incrementally.
Compute an arithmetic mean of squared absolute values incrementally.
Compute an arithmetic mean and corrected sample standard deviation incrementally.
Compute an arithmetic mean and unbiased sample variance incrementally.
Compute a moving geometric mean incrementally.
Moving Grubbs' test for outliers.
Compute a moving harmonic mean incrementally.
Compute a mid-range incrementally.
Compute a minimum value incrementally.
Compute a minimum absolute value incrementally.
Compute a minimum and maximum incrementally.
Compute minimum and maximum absolute values incrementally.
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
Compute a moving mean absolute error (MAE) incrementally.
Compute a moving mean absolute percentage error (MAPE) incrementally.
Compute a moving maximum incrementally.
Compute a moving maximum absolute value incrementally.
Compute a moving mean directional accuracy (MDA) incrementally.
Compute a moving mean error (ME) incrementally.
Compute a moving arithmetic mean incrementally.
Compute a moving arithmetic mean of absolute values incrementally.
Compute a moving arithmetic mean of squared absolute values incrementally.
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
Compute a moving arithmetic mean and unbiased sample variance incrementally.
Compute a moving mid-range incrementally.
Compute a moving minimum incrementally.
Compute a moving minimum absolute value incrementally.
Support the repos that depend on stdlib-js/stats-incr
Top contributors
stdlib-bot
58 contributions
Recent events
Kivach works on the Obyte network, and therefore you can track all donations.
No events yet