@stdlib/stats-incr-mminabs
Compute a moving minimum absolute value incrementally.
@stdlib/stats-base-dists-logistic-stdev
Logistic distribution standard deviation.
math-base-special-ceilsd
Round a numeric value to the nearest number toward positive infinity with N significant figures.
@stdlib/stats-base-dists-laplace-stdev
Laplace distribution standard deviation.
@stdlib/stats-incr-sumabs2
Compute a sum of squared absolute values incrementally.
@stdlib/stats-base-dists-f-pdf
F distribution probability density function (PDF).
@stdlib/math-strided-special-asin-by
Compute the arcsine of each element retrieved from an input strided array via a callback function.
@stdlib/math-base-special-hypot
Compute the hypotenuse avoiding overflow and underflow.
@stdlib/math-base-special-truncf
Round a single-precision floating-point number toward zero.
@stdlib/stats-incr-mpcorr
Compute a moving sample Pearson product-moment correlation coefficient incrementally.
@stdlib/stats-base-dists-gamma-mgf
Gamma distribution moment-generating function (MGF).
@stdlib/blas-ext-base-gsumors
Calculate the sum of strided array elements using ordinary recursive summation.
@stdlib/stats-incr-mmeanstdev
Compute a moving arithmetic mean and corrected sample standard deviation incrementally.
@stdlib/stats-incr-ewvariance
Compute an exponentially weighted variance incrementally.
@stdlib/strided-napi-smap
C API for registering an N-API module exporting a strided array interface for applying a unary callback accepting and returning single-precision floating-point numbers to each element in a single-precision floating-point strided input array and assigning results to elements in a single-precision floating-point strided output array.
@stdlib/stats-base-dists-invgamma-variance
Inverse gamma distribution variance.
@stdlib/strided-base-meta-data-props
Define non-enumerable read-only properties which expose strided array function meta data.
@stdlib/stats-incr
Standard library functions for computing statistics incrementally.
@stdlib/blas-ext-base-ssum
Calculate the sum of single-precision floating-point strided array elements.
@stdlib/math-base-special-rsqrt
Compute the reciprocal square root of a double-precision floating-point number.
@stdlib/math-strided-special-abs
Compute the absolute value for each element in a strided array.
@stdlib/stats-base-dists-signrank
Distribution of Wilcoxon signed rank test statistic.
@stdlib/math-base-special-hypotf
Compute the hypotenuse avoiding overflow and underflow (single-precision).
@stdlib/stats-incr-nansumabs2
Compute a sum of squared absolute values incrementally, ignoring NaN values.
@stdlib/constants-float32-significand-mask
Mask for the significand of a single-precision floating-point number.
@stdlib/stats-base-dists-arcsine-quantile
Arcsine distribution quantile function.
@stdlib/blas-ext-base-dsumors
Calculate the sum of double-precision floating-point strided array elements using ordinary recursive summation.
@stdlib/blas-ext-base-dapxsum
Adds a constant to each double-precision floating-point strided array element and computes the sum.
@stdlib/stats-incr-pcorr2
Compute a squared sample Pearson product-moment correlation coefficient.
@stdlib/blas-base-ccopy
Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.
@stdlib/random-iter-discrete-uniform
Create an iterator for generating pseudorandom numbers drawn from a discrete uniform distribution.
@stdlib/math-base-special-besselj0
Compute the Bessel function of the first kind of order zero.
@stdlib/stats-incr-msumabs2
Compute a moving sum of squared absolute values incrementally.
@stdlib/strided-base-mskunary
Apply a unary callback to elements in a strided input array according to elements in a strided mask array and assign results to elements in a strided output array.
@stdlib/stats-base-dists-laplace-logcdf
Laplace distribution logarithm of cumulative distribution function (CDF).
@stdlib/stats-base-dists-arcsine-kurtosis
Arcsine distribution excess kurtosis.
@stdlib/stats-incr-mminmax
Compute a moving minimum and maximum incrementally.
@stdlib/stats-base-dists-rayleigh-stdev
Rayleigh distribution standard deviation.
@stdlib/stats-base-dists-arcsine-stdev
Arcsine distribution standard deviation.
@stdlib/stats-iter-mprod
Create an iterator which iteratively computes a moving product.
@stdlib/stats-base-sminabs
Calculate the minimum absolute value of a single-precision floating-point strided array.
@stdlib/stats-base-dists-kumaraswamy-mean
Kumaraswamy's double bounded distribution expected value.
@stdlib/stats-base-dists-kumaraswamy-pdf
Kumaraswamy's double bounded distribution probability density function (PDF).
@stdlib/stats-base-dists-geometric-mgf
Geometric distribution moment-generating function (MGF).
@stdlib/math-base-special-deg2radf
Convert an angle from degrees to radians (single-precision).
@stdlib/blas-ext-base-ssumors
Calculate the sum of single-precision floating-point strided array elements using ordinary recursive summation.
@stdlib/simulate-iter-bartlett-hann-pulse
Create an iterator which generates a Bartlett-Hann pulse waveform.
@stdlib/blas-ext-base-gcusum
Calculate the cumulative sum of strided array elements.
@stdlib/stats-incr-cv
Compute the coefficient of variation (CV) incrementally.
@stdlib/simulate-iter-hann-pulse
Create an iterator which generates a Hann pulse waveform.
@stdlib/stats-base-dists-logistic-mgf
Logistic distribution moment-generating function (MGF).
@stdlib/stats-incr-mrmse
Compute a moving root mean squared error (RMSE) incrementally.