mae
Mean absolute error. In statistics, the mean absolute error (MAE) is a quantity used to measure how close forecasts or predictions are to the eventual outcomes.
Mean absolute error. In statistics, the mean absolute error (MAE) is a quantity used to measure how close forecasts or predictions are to the eventual outcomes.
A mathematics and statistics library for Node.js (javascript and typescript)
A module to get statistics from data from a Learn Memory website.
Express middleware for automatically logging API statistics to KPI Monster.
A set of math utilities for working with random numbers/arrays.
Calculates the median absolute deviation of a set of data points in-place.
Calculates the expectation value of a set of data points.
Calculates the squared quadratic mean of a set of data points.
Calculates the median of a set of data points in-place.
Calculate mean, standard deviation, sum for a set of data points.
Calculates the standard deviation of a set of data points.
A small library of awesome statistical functions.
Analysis of Variance (ANOVA)
Collect statistics for your REST API calls
Cross-platform system-statistics (data gatherer for the Conkie project)
logs and aggregates events in a cli application
Simply putting the status from node os into json and returning them to request.
A cookieless identifier for user tracking by exploting etags.
Statistical and psychometic helper functions used in d-pac
Calculate Brier Scores