JSPM

Found 218 results for variance

@stdlib/stats-base-svariancewd

Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.

  • v0.2.2
  • 13.28
  • Published

@stdlib/stats-base-nanstdevpn

Calculate the standard deviation of a strided array ignoring NaN values and using a two-pass algorithm.

  • v0.2.2
  • 13.16
  • Published

@stdlib/stats-base-snanstdevtk

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

  • v0.2.2
  • 13.16
  • Published

@stdlib/stats-base-nanvarianceyc

Calculate the variance of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 13.11
  • Published

@stdlib/stats-base-dnanstdevyc

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 13.10
  • Published

@stdlib/stats-base-dnanvarianceyc

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 12.86
  • Published

@stdlib/stats-base-dvarm

Calculate the variance of a double-precision floating-point strided array provided a known mean.

  • v0.2.2
  • 12.84
  • Published

@stdlib/stats-base-stdevwd

Calculate the standard deviation of a strided array using Welford's algorithm.

  • v0.2.2
  • 12.80
  • Published

@stdlib/stats-iter-stdev

Compute the corrected sample standard deviation over all iterated values.

  • v0.2.2
  • 12.76
  • Published

@stdlib/stats-base-nanstdevch

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

  • v0.2.2
  • 12.74
  • Published

@stdlib/stats-base-dvarianceyc

Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 12.56
  • Published

@stdlib/stats-base-snanvarianceyc

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 12.35
  • Published

@stdlib/stats-base-stdevtk

Calculate the standard deviation of a strided array using a one-pass textbook algorithm.

  • v0.2.2
  • 12.18
  • Published

@stdlib/stats-base-snanvariancech

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

  • v0.2.2
  • 12.18
  • Published

yagnus

JavaScript stats library containing parallel distributed streaming algorithms to compute important frequently used statistics on big data. The library calculates commonly used univariate, multivariate and discrete statistics. It can be used alone in a webpage, or server-side in nodejs (or both since mss's can be merged), or within a big-data no-sql engines such as hadoop, mongodb.

  • v0.0.17
  • 12.00
  • Published

@stdlib/stats-base-dnanstdev

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.

  • v0.2.2
  • 11.92
  • Published

@stdlib/stats-base-dnanstdevpn

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

  • v0.2.2
  • 11.88
  • Published

@stdlib/stats-base-nanvariancech

Calculate the variance of a strided array ignoring NaN values and using a one-pass trial mean algorithm.

  • v0.2.2
  • 11.83
  • Published

@stdlib/stats-base-dvarmpn

Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.

  • v0.2.2
  • 11.83
  • Published

@stdlib/stats-base-snanstdevyc

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 11.83
  • Published

@stdlib/stats-base-dvariancetk

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

  • v0.2.2
  • 11.83
  • Published

@stdlib/stats-base-sstdevwd

Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.

  • v0.2.2
  • 11.78
  • Published

@stdlib/stats-base-dstdevpn

Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.

  • v0.2.2
  • 11.78
  • Published

@stdlib/stats-base-sstdevyc

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 11.70
  • Published

@stdlib/stats-base-sstdev

Calculate the standard deviation of a single-precision floating-point strided array.

  • v0.2.2
  • 11.51
  • Published

@stdlib/stats-base-snanstdevwd

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

  • v0.2.2
  • 11.47
  • Published

@stdlib/stats-base-dvarmtk

Calculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.

  • v0.2.2
  • 11.37
  • Published

@stdlib/stats-base-snanstdev

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values.

  • v0.2.2
  • 11.34
  • Published

@stdlib/stats-base-dsvariancepn

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result.

  • v0.2.2
  • 11.30
  • Published

statquo

Utility functions for working with statistics.

  • v1.0.2
  • 11.07
  • Published

@stdlib/stats-base-nanstdevtk

Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.

  • v0.2.2
  • 11.07
  • Published

@stdlib/stats-base-dvariancepn

Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

  • v0.2.2
  • 10.94
  • Published

@stdlib/stats-base-nanvariancetk

Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.

  • v0.2.2
  • 10.91
  • Published

@stdlib/stats-base-sstdevch

Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.

  • v0.2.2
  • 10.87
  • Published

@stdlib/stats-base-dnanstdevtk

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

  • v0.2.2
  • 10.70
  • Published

@stdlib/stats-base-dstdevyc

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 10.65
  • Published

@stdlib/stats-base-svariancepn

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

  • v0.2.2
  • 10.44
  • Published

@stdlib/stats-base-dstdev

Calculate the standard deviation of a double-precision floating-point strided array.

  • v0.2.2
  • 10.41
  • Published

@stdlib/stats-base-stdevyc

Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 10.24
  • Published

@stdlib/stats-base-dstdevwd

Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.

  • v0.2.2
  • 9.96
  • Published

@stdlib/stats-base-svariancech

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

  • v0.2.2
  • 9.93
  • Published

ndarray-normalize

Normalizes an ndarray to zero mean and unit variance

  • v1.0.0
  • 9.65
  • Published

@stdlib/stats-base-dnanvariancewd

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.

  • v0.2.2
  • 9.38
  • Published

@stdlib/stats-base-dstdevtk

Calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm.

  • v0.2.2
  • 9.35
  • Published

@stdlib/stats-base-dnanvariancetk

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

  • v0.2.2
  • 9.35
  • Published

normal-pdf

Get gaussian density at a point

  • v1.0.1
  • 9.20
  • Published

@stdlib/stats-base-dmeanvar

Calculate the mean and variance of a double-precision floating-point strided array.

  • v0.2.2
  • 8.76
  • Published

@stdlib/stats-base-svarianceyc

Calculate the variance of a single-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

  • v0.2.2
  • 8.76
  • Published

@stdlib/stats-base-dnanvariancech

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

  • v0.2.2
  • 8.74
  • Published

allan

Javascript Allan Variance library

  • v0.1.0-beta.8
  • 8.56
  • Published

levene-test

Perform Levene's statistical test for equality of group variances

  • v1.0.2
  • 8.51
  • Published

cal-sum-avg-mode-medium-range-and-more

Now, you can calculate the sum, average, mode, median, range, variance, and standard deviation for the given array of numbers.

  • v1.0.5
  • 7.67
  • Published

fmstats

Decriptive Statistics

    • v1.0.0
    • 7.09
    • Published

    awesome-statistics

    A small library of awesome statistical functions.

    • v0.2.0
    • 6.34
    • Published

    flow-covariance

    Reduce transform stream which calculates the covariance of streamed numeric data.

    • v0.0.4
    • 6.34
    • Published

    @hugov/stats

    average, standard deviation, variance, covariance and correlation of data sets

    • v0.0.1
    • 6.28
    • Published

    flow-pcc

    Reduce transform stream which calculates the Pearson product-moment correlation coefficient matrix of streamed numeric data.

    • v0.0.3
    • 6.28
    • Published

    lazy-stats

    online average, variance, covariance and correlation

    • v4.3.0
    • 6.22
    • Published

    rj-basic-stats

    To use basic statistics functions to calculation

      • v1.2.0
      • 4.04
      • Published

      stat-kit-mjs

      Simple statistics utility functions (mean, median, mode, etc.)

      • v1.0.0
      • 3.94
      • Published

      smartaverage

      Intelligent average of data set of numbers calculating variance and discarding the farthest values.

      • v0.0.2
      • 3.92
      • Published

      flow-variance

      Reduce transform stream which calculates the variance of streamed data.

      • v0.0.4
      • 3.92
      • Published

      ts-stats

      Helpful utility functions for basic statistical operations

      • v1.0.4
      • 2.36
      • Published

      statsbase

      An average, variance, covariance and correlation calculator written in TypeScript

        • v1.0.3
        • 0.00
        • Published

        varianc

        Variance

        • v0.0.0
        • 0.00
        • Published