mir.math.stat

This module contains base statistical algorithms.

Note that used specialized summing algorithms execute more primitive operations than vanilla summation. Therefore, if in certain cases maximum speed is required at expense of precision, one can use $(TT Summation.fast) .

Members

Enums

Summation (from mir.math.sum) enum Summation via public import mir.math.sum : Summation;
VarianceAlgo enum VarianceAlgo: Variance algorithms.

Functions

gmean gmeanType!F gmean(Range r)
gmeanType!Range gmean(Range r): Computes the geometric average of the input.
gmean gmeanType!F gmean(F[] ar)
median meanType!(T[]) median(T[] ar)
median auto median(T withAsSlice)

Structs

GMeanAccumulator struct GMeanAccumulator(T): Output range for gmean.
MapSummator struct MapSummator(alias fun, T, Summation summation): Output range that applies function fun to each input before summing
MeanAccumulator struct MeanAccumulator(T, Summation summation): Output range for mean.
VarianceAccumulator struct VarianceAccumulator(T, VarianceAlgo varianceAlgo, Summation summation)
VarianceAccumulator struct VarianceAccumulator(T, VarianceAlgo varianceAlgo, Summation summation)
VarianceAccumulator struct VarianceAccumulator(T, VarianceAlgo varianceAlgo, Summation summation)
VarianceAccumulator struct VarianceAccumulator(T, VarianceAlgo varianceAlgo, Summation summation)

Templates

center template center(alias centralTendency = mean!(Summation.appropriate)): Centers slice, which must be a finite iterable.
gmeanType template gmeanType(T)
hmean template hmean(F, Summation summation = Summation.appropriate)
template hmean(Summation summation = Summation.appropriate)
template hmean(F, string summation)
template hmean(string summation): Computes the harmonic mean of the input.
hmeanType template hmeanType(T)
mean template mean(F, Summation summation = Summation.appropriate)
template mean(Summation summation = Summation.appropriate)
template mean(F, string summation)
template mean(string summation): Computes the mean of the input.
meanType template meanType(T)
median template median(F, bool allowModify = false)
template median(bool allowModify = false): Computes the median of slice.
simpleLinearRegression template simpleLinearRegression(string summation): A linear regression model with a single explanatory variable.
simpleLinearRegression template simpleLinearRegression(Summation summation = Summation.kbn): A linear regression model with a single explanatory variable.
standardDeviation template standardDeviation(F, VarianceAlgo varianceAlgo = VarianceAlgo.online, Summation summation = Summation.appropriate)
template standardDeviation(VarianceAlgo varianceAlgo = VarianceAlgo.online, Summation summation = Summation.appropriate)
template standardDeviation(F, string varianceAlgo, string summation = "appropriate")
template standardDeviation(string varianceAlgo, string summation = "appropriate"): Calculates the standard deviation of the input
statType template statType(T, bool checkComplex = true)
stdevType template stdevType(T)
variance template variance(F, VarianceAlgo varianceAlgo = VarianceAlgo.online, Summation summation = Summation.appropriate)
template variance(VarianceAlgo varianceAlgo = VarianceAlgo.online, Summation summation = Summation.appropriate)
template variance(F, string varianceAlgo, string summation = "appropriate")
template variance(string varianceAlgo, string summation = "appropriate"): Calculates the variance of the input

The OpenD Programming Language

mir.math.stat

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