@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/math-base-utils-absolute-difference
Compute the absolute difference of two real numbers.
@stdlib/error-tools-pkg2id
Return the error identifier prefix associated with a specified package name.
@stdlib/error-tools-msg2id
Return a two-character error identifier corresponding to a provided error message.
@stdlib/stats-incr-mmae
Compute a moving mean absolute error (MAE) incrementally.
@stdlib/stats-incr-mape
Compute the mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-incr-mmape
Compute a moving mean absolute percentage error (MAPE) incrementally.
@stdlib/stats-incr-mmpe
Compute a moving mean percentage error (MPE) incrementally.
@stdlib/stats-incr-mrss
Compute a moving residual sum of squares (RSS) incrementally.
@stdlib/stats-incr-rss
Compute the residual sum of squares (RSS) incrementally.
@stdlib/stats-incr-rmse
Compute the root mean squared error (RMSE) incrementally.
@stdlib/stats-incr-mrmse
Compute a moving root mean squared error (RMSE) incrementally.
@stdlib/stats-incr-mmse
Compute a moving mean squared error (MSE) incrementally.
@stdlib/error-tools-id2pkg
Return the package name associated with a specified error identifier prefix.
@stdlib/math-base-utils-relative-difference
Compute the relative difference of two real numbers.
number-float32-base-ulp-difference
Calculate the ULP difference for Float32 numbers with this efficient JavaScript library. Perfect for numerical computation in browsers and Node.js. 🚀🌐
wolfsoftware.notify
Provides a set of utility functions for printing formatted messages to the terminal
number-float64-base-ulp-difference
Compute the number of representable double-precision floating-point values that separate two double-precision floating-point numbers along the real number line.
@stdlib/math-iter-special-erfcinv
Create an iterator which evaluates the inverse complementary error function for each iterated value.
omega
Open Microscopy Environment inteGrated Analysis (OMEGA) is a cross-platform data management, analysis and visualization system, for particle tracking data with particular emphasis on results from viral and vesicular trafficking experiments.