build/modelscript.umd.js
function trackingSignal(actuals, estimates) {
              const runningSumOfForecastErrors = sum(forecastErrors(actuals, estimates));
              const MAD = meanAbsoluteDeviation(actuals, estimates);
              return runningSumOfForecastErrors / MAD;
            }
function trackingSignal(actuals, estimates) {
              const runningSumOfForecastErrors = sum(forecastErrors(actuals, estimates));
              const MAD = meanAbsoluteDeviation(actuals, estimates);
              return runningSumOfForecastErrors / MAD;
            }
function trackingSignal ( actuals , estimates ) { const runningSumOfForecastErrors = sum ( forecastErrors ( actuals , estimates ) ) ; const MAD = meanAbsoluteDeviation ( actuals , estimates ) ; return runningSumOfForecastErrors / MAD ; }
Tracking Signal - Used to pinpoint forecasting models that need adjustment
@memberOf util
@see {@link https://scm.ncsu.edu/scm-articles/article/measuring-forecast-accuracy-approaches-to-forecasting-a-tutorial}
@example
const actuals = [ 45, 38, 43, 39 ];
const estimates = [ 41, 43, 41, 42 ];
const trackingSignal = ms.util.trackingSignal(actuals, estimates);
trackingSignal.toFixed(2) // =>  -0.57
@param {Number[]} actuals - numerical samples
@param {Number[]} estimates - estimates values
@returns {Number} trackingSignal
Tracking Signal - Used to pinpoint forecasting models that need adjustment