PyAutoFit
PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting - Published in JOSS (2021)
scikit-posthocs
scikit-posthocs: Pairwise multiple comparison tests in Python - Published in JOSS (2019)
Hypothesize
Hypothesize: Robust Statistics for Python - Published in JOSS (2020)
@stdlib/random-base-mt19937
A 32-bit Mersenne Twister pseudorandom number generator.
@stdlib/stats-incr-kurtosis
Compute a corrected sample excess kurtosis incrementally.
@stdlib/stats-incr-maape
Compute the mean arctangent absolute percentage error (MAAPE) incrementally.
@stdlib/stats-incr-mmaape
Compute a moving arctangent mean absolute percentage error (MAAPE) incrementally.
@stdlib/random-iter-mt19937
Create an iterator for a 32-bit Mersenne Twister pseudorandom number generator.
@stdlib/blas-ext-base-gcusumkbn2
Calculate the cumulative sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/random-base-minstd
A linear congruential pseudorandom number generator (LCG) based on Park and Miller.
@stdlib/blas-ext-base-gsumpw
Calculate the sum of strided array elements using pairwise summation.
@stdlib/random-base-improved-ziggurat
Normally distributed pseudorandom numbers using the improved Ziggurat method.
random-streams-mt19937
Create a readable stream for a 32-bit Mersenne Twister pseudorandom number generator.
@stdlib/random-base-box-muller
Normally distributed pseudorandom numbers using the Box-Muller transform.
@stdlib/random-base-hypergeometric
Hypergeometric distributed pseudorandom numbers.
@stdlib/random-base-minstd-shuffle
A linear congruential pseudorandom number generator (LCG) whose output is shuffled.
@stdlib/stats-base-variancepn
Calculate the variance of a strided array using a two-pass algorithm.
@stdlib/blas-ext-base-gapxsumpw
Adds a constant to each strided array element and computes the sum using pairwise summation.
@stdlib/stats-base-meanpn
Calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.
git-quick-stats
▁▅▆▃▅ Git quick statistics is a simple and efficient way to access various statistics in git repository.
@stdlib/stats-base-stdevpn
Calculate the standard deviation of a strided array using a two-pass algorithm.
@stdlib/blas-ext-base-dsumpw
Calculate the sum of double-precision floating-point strided array elements using pairwise summation.
@stdlib/stats-lowess
Locally-weighted polynomial regression via the LOWESS algorithm.
@stdlib/blas-ext-base-gsumkbn
Calculate the sum of strided array elements using an improved Kahan–Babuška algorithm.
@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.
@stdlib/blas-ext-base-dnansumkbn
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/ml-incr-binary-classification
Incrementally perform binary classification using stochastic gradient descent (SGD).
@stdlib/blas-ext-base-ssumpw
Calculate the sum of single-precision floating-point strided array elements using pairwise summation.
@stdlib/blas-ext-base-dapxsumkbn
Add a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dnannsumpw
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/blas-ext-base-sapxsumpw
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.
@stdlib/stats-base-nanstdevch
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass trial mean algorithm.
@stdlib/stats-base-dmeanvarpn
Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/blas-ext-base-dssumpw
Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-variancech
Calculate the variance of a strided array using a one-pass trial mean algorithm.
@stdlib/blas-ext-base-sapxsumkbn
Add a constant to each single-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dapxsumkbn2
Add a constant to each double-precision floating-point strided array element and compute the sum using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-ssumkbn2
Calculate the sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dsumkbn
Calculate the sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
@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.
@stdlib/stats-base-dmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
@stdlib/stats-base-nanvariancewd
Calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.
@stdlib/blas-ext-base-scusumpw
Calculate the cumulative sum of single-precision floating-point strided array elements using pairwise summation.
@stdlib/blas-ext-base-sdssumpw
Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation.
@stdlib/blas-ext-base-dcusumkbn
Calculate the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-gsumkbn2
Calculate the sum of strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-variancetk
Calculate the variance of a strided array using a one-pass textbook algorithm.
@stdlib/stats-base-dvariancepn
Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/blas-ext-base-ssumkbn
Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/random-streams-box-muller
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
@stdlib/stats-base-stdevwd
Calculate the standard deviation of a strided array using Welford's algorithm.
@stdlib/blas-ext-base-gapxsumkbn
Add a constant to each strided array element and compute the sum using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dmeanstdevpn
Calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.
@stdlib/blas-ext-base-gcusumkbn
Calculate the cumulative sum of strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-scusumkbn
Calculate the cumulative sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dsmeanpn
Calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result.
blas-ext-base-dcusumkbn2
Calculate the cumulative sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
stats-base-nanmeanwd
Calculate the arithmetic mean of a strided array, ignoring NaN values and using Welford's algorithm.
@stdlib/stats-base-svariancepn
Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.
@stdlib/random-streams-minstd-shuffle
Create a readable stream for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.
@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.
@stdlib/blas-ext-base-dsumkbn2
Calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-nanvariancepn
Calculate the variance of a strided array ignoring NaN values and using a two-pass algorithm.
@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.
@stdlib/stats-base-nanvariancetk
Calculate the variance of a strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/stats-base-snanvariancepn
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.
@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.
@stdlib/stats-base-dnanmeanpn
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.
@stdlib/random-iter-box-muller
Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.
@stdlib/stats-base-sstdevtk
Calculate the standard deviation of a single-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/blas-ext-base-dnannsumkbn
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/blas-ext-base-dnannsumkbn2
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using a second-order iterative Kahan–Babuška algorithm.
@stdlib/stats-base-meankbn
Calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array using pairwise summation.
@stdlib/stats-base-sstdev
Calculate the standard deviation of a single-precision floating-point strided array.
@stdlib/blas-ext-base-dnansumpw
Calculate the sum of double-precision floating-point strided array elements, ignoring NaN values and using pairwise summation.
@stdlib/stats-base-stdevtk
Calculate the standard deviation of a strided array using a one-pass textbook algorithm.
random-streams-improved-ziggurat
Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.
@stdlib/stats-base-smeanlipw
Calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.
@stdlib/stats-base-dnanmeanpw
Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using pairwise summation.
@stdlib/stats-base-nanstdevtk
Calculate the standard deviation of a strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/blas-ext-base-dsapxsumpw
Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation with extended accumulation and returning an extended precision result.
@stdlib/stats-base-nanmeanpn
Calculate the arithmetic mean of a strided array, ignoring NaN values and using a two-pass error correction algorithm.
@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.
@stdlib/blas-ext-base-gnansumkbn
Calculate the sum of strided array elements, ignoring NaN values and using an improved Kahan–Babuška algorithm.
@stdlib/stats-base-dvariancetk
Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.
@stdlib/stats-base-snanvariancetk
Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.
@stdlib/datasets-harrison-boston-house-prices
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).