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www-test-code-coverage
Publicstdlib
Publicstats
PublicStandard library statistical functions.stats-base-svariancetk
PublicCalculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.stats-base-dvariancetk
PublicCalculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.stats-base-dvariancech
PublicCalculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.math
Publicmath-base-napi-ternary
Publicmath-base-napi-binary
Publicstats-base-dvarianceyc
PublicCalculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.stats-base-dvarmtk
PublicCalculate the variance of a double-precision floating-point strided array provided a known mean and using a one-pass textbook algorithm.stats-base-svariancech
PublicCalculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.stats-base-dvariancewd
PublicCalculate the variance of a double-precision floating-point strided array using Welford's algorithm.stats-base-smeanwd
PublicCalculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.stats-base-dnanstdevpn
PublicCalculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.- Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
stats-base-dnanstdevch
PublicCalculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.stats-base-dnanstdevyc
PublicCalculate 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.- 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.
- Fréchet distribution variance.
- Fréchet distribution standard deviation.
- Fréchet distribution skewness.
string
Publicconstants
Public- Standard assertion utilities.
blas
Publicstring-base-right-pad
Publicarray
Public- One half times the natural logarithm of 2 as a single-precision floating-point number.
blas-ext-base-dapxsumkbn
PublicAdd a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.