Compute an arithmetic mean incrementally.
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Apache License 2.0
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Support the dependencies of stdlib-js/stats-incr-mean
stdlib TypeScript type declarations.
Uniformly distributed pseudorandom numbers between 0 and 1.
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 cases including unit tests, server side functional tests and browser tests. Built for scale
Minimal TAP output formatter.
Benchmark harness.
Support the repos that depend on stdlib-js/stats-incr-mean
Compute an arithmetic mean of squared absolute values incrementally.
Compute an arithmetic mean of absolute values incrementally.
Compute a harmonic mean incrementally.
Incrementally partition data into `k` clusters.
Compute a statistical summary incrementally.
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
Compute the mean squared error (MSE) incrementally.
Compute the mean percentage error (MPE) incrementally.
Compute the arithmetic mean over all iterated values.
Compute the root mean squared error (RMSE) incrementally.
Create an iterator which iteratively computes a cumulative arithmetic mean.
Compute the mean absolute percentage error (MAPE) incrementally.
Compute the mean absolute error (MAE) incrementally.
Compute the mean error (ME) incrementally.
Compute the mean directional accuracy (MDA) incrementally.
Levene's test for equal variances.
Incremental statistics.
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