Statistical measures for finite or infinite data streams.
Statistical measures for finite or infinite data streams.
All operations use numerically stable floating point arithmetic. Measurements can be performed over the entire input stream or on a sliding window of fixed or variable size. Where possible, measures are computed online without buffering the input stream.
Includes:
Summary: length, sum, powerSum
Location: minimum, maximum, rawMoments, means, exponential smoothing
Spread: range, variance, deviations
Shape: skewness, kurtosis
Sample statistics, resampling
Probablity distribution: frequency, mode, histograms
Transforms: Fast fourier transform
streamly-statistics
Statistical measures for finite or infinite data streams.
All operations use numerically stable floating point arithmetic. Measurements can be performed over the entire input stream or on a sliding window of fixed or variable size. Where possible, measures are computed online without buffering the input stream.
Includes:
- Summary: length, sum, powerSum
- Location: minimum, maximum, rawMoments, means, exponential smoothing
- Spread: range, variance, deviations
- Shape: skewness, kurtosis
- Sample statistics, resampling
- Probablity distribution: frequency, mode, histograms
- Transforms: Fast fourier transform.