Search results
124 packages found
Compute a moving residual sum of squares (RSS) incrementally.
Compute a moving geometric mean incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- geometric
- mean
- geometric mean
- product
- prod
- central tendency
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Compute a moving harmonic mean incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- harmonic
- mean
- harmonic mean
- central tendency
- incremental
- accumulator
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Compute a sample Pearson product-moment correlation matrix incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- matrix
- sample covariance
- variance
- unbiased
- var
- dispersion
- standard deviation
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Compute a moving statistical summary incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- summary
- incremental
- accumulator
- moving
- sliding
- window
- moving window
- sliding window
Compute a moving unbiased sample covariance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- sample covariance
- variance
- unbiased
- var
- deviation
- dispersion
- standard deviation
- View more
Compute a moving mean percentage error (MPE) incrementally.
Compute a moving arithmetic mean and unbiased sample variance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- central tendency
- moving mean
- moving average
- variance
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Compute an unbiased sample covariance matrix incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- covariance
- matrix
- sample covariance
- variance
- unbiased
- var
- dispersion
- standard deviation
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Compute a moving sum of products incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- sum
- total
- product
- prod
- dot
- dot product
- sum-product
- incremental
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Compute a moving mean error (ME) incrementally.
Compute a moving coefficient of variation (CV) incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- stdev
- std
- variance
- var
- standard
- deviation
- dispersion
- relative
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Compute a statistical summary incrementally.
Compute an arithmetic mean and unbiased sample variance incrementally.
- stdlib
- stdmath
- statistics
- stats
- mathematics
- math
- average
- avg
- mean
- arithmetic mean
- variance
- sample variance
- unbiased
- var
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Incremental statistics.
Apply a function against an accumulator and each element in a collection and return the accumulated result, iterating from right to left.
- stdlib
- stdutils
- stdutil
- utilities
- utility
- utils
- util
- asynchronous
- async
- reduce
- right
- reduceright
- reducer
- reduction
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Apply a function against an accumulator and each element in a collection and return the accumulated result.
- stdlib
- stdutils
- stdutil
- utilities
- utility
- utils
- util
- asynchronous
- async
- reduce
- reducer
- reduction
- array.reduce
- iterate
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Reduce the number of dimensions by one of a two-dimensional nested array by applying a function against an accumulator and each element along the innermost dimension and returning the accumulation results as a one-dimensional array.
- stdlib
- stdutils
- stdutil
- utilities
- utility
- utils
- util
- reduce
- reducer
- reduction
- array.reduce
- iterate
- aggregate
- accumulator
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A simple tool for calculating incremental stats on numeric streams. Forked from https://github.com/brycebaril/stats-incremental
Incrementally partition data into `k` clusters.
- stdlib
- stdmath
- stdml
- ml
- machine
- learning
- mathematics
- math
- statistics
- stats
- data mining
- quantization
- lloyds algorithm
- euclidean
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