@stdlib/stats-base-dsempn
Calculate the standard error of the mean for a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
@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.
@stdlib/stats-base-dsmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result.
@stdlib/stats-base-dsnanmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.
@stdlib/stats-base-variancewd
Calculate the variance of a strided array using Welford's algorithm.
@stdlib/stats-base-dmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsemtk
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass textbook algorithm.
@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.
@stdlib/blas-ext-base-sdsapxsumpw
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation.
@stdlib/random-iter-improved-ziggurat
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
@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.
@stdlib/stats-base-dnanvariancewd
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@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.
@stdlib/blas-ext-base-dsort2hp
Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using heapsort.
@stdlib/stats-base-dnanmeanwd
Calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring NaN values.
@stdlib/stats-base-dmeanlipw
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
@stdlib/stats-base-dstdevpn
Calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/stats-base-dsnanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using Welford's algorithm with extended accumulation, and returning an extended precision result.
@stdlib/blas-ext-base-gnannsumkbn
Calculate the sum of strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dmeanli
Calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-ssort2sh
Simultaneously sort two single-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
@stdlib/stats-base-smeankbn2
Calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-meankbn2
Calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-dnanvariancepn
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@stdlib/blas-ext-base-gnansumkbn2
Calculate the sum of strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-scusumkbn2
Calculate the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-sstdevch
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-dnansumkbn2
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-sasumpw
Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
@stdlib/stats-base-svariancewd
Calculate the variance of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-dsemyc
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dvariancech
Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-svariancech
Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevwd
Calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.
@stdlib/stats-base-stdevyc
Calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/random-iter-minstd
Create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.
@stdlib/stats-base-snanmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/stats-base-dnanstdevch
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-gapxsumkbn2
Add a constant to each strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-dsemch
Calculate the standard error of the mean for a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-dstdevch
Calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/stats-base-snanstdevch
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-sapxsumkbn2
Add a constant to each single-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
@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.
@stdlib/blas-ext-base-dsort2sh
Simultaneously sort two double-precision floating-point strided arrays based on the sort order of the first array using Shellsort.
@stdlib/stats-base-nanstdevyc
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
@stdlib/stats-base-dnanstdevwd
Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@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.
@stdlib/stats-base-dsemwd
Calculate the standard error of the mean for a double-precision floating-point strided array using Welford's algorithm.
@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.
@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.
@stdlib/stats-base-snanstdevwd
Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-sstdevwd
Calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
@stdlib/blas-ext-base-snansumkbn2
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/datasets-harrison-boston-house-prices-corrected
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/stats-base-svariancetk
Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/blas-ext-base-gcusumpw
Calculate the cumulative sum of strided array elements using pairwise summation.
@cornerstonejs/adapters
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
@hhhtj/draw.io
draw.io is a JavaScript, client-side editor for general diagramming.
@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.
@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.
@stdlib/blas-ext-base-snansumkbn
Calculate the sum of single-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/datasets-pace-boston-house-prices
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
@stdlib/random-iter-minstd-shuffle
Create an iterator for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
@stdlib/stats-base-smeanpw
Calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.
stats-base-smeanli
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.
@stdlib/math-base-special-ldexp
Multiply a double-precision floating-point number by an integer power of two.
ops.js
Javascript based API with methods used to access the Open PHACTS Discovery Platform and parse the responses
@stdlib/constants-float64-high-word-abs-mask
High word mask for excluding the sign bit of a double-precision floating-point number.
text-case
Convert text between `camelCase`, `PascalCase`, `Capital Case`, `Header-Case`, `Title Case`, `path/case`, `snake_case`, `param-case`, `dot.case`, `CONSTANT_CASE`, `lower case`, `lOWER CASE FIRST`, `UPPER CASE`, `Upper case first` and other
@stdlib/constants-float64-min-base2-exponent-subnormal
The minimum biased base 2 exponent for a subnormal double-precision floating-point number.
datasets-minard-napoleons-march
Data for Charles Joseph Minard's cartographic depiction of Napoleon's Russian campaign of 1812.
@stdlib/math-base-special-abs
Compute the absolute value of a double-precision floating-point number.
@stdlib/constants-float64-max-base2-exponent-subnormal
The maximum biased base 2 exponent for a subnormal double-precision floating-point number.
@stdlib/number-float64-base-exponent
Return an integer corresponding to the unbiased exponent of a double-precision floating-point number.
@stdlib/number-float64-base-get-high-word
Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
@stdlib/constants-float64-high-word-exponent-mask
High word mask for the exponent of a double-precision floating-point number.
@stdlib/constants-float64-exponent-bias
The bias of a double-precision floating-point number's exponent.
@stdlib/constants-float64-high-word-sign-mask
High word mask for the sign bit of a double-precision floating-point number.