Man pages for svcuonghvktqs/FORA
A package for time sereis forecast accuracy evaluation

boxplotAPEsBoxplot of absolute percentage errors for the given data from...
boxplotPEsBoxplot of percentage errors for the given data from dataset
calculateAvgRelMAEsAverage Relative Mean Absolute Error for the given data from...
calculateGMAPEsGeometric Mean Absolute Percentage error for the given data...
calculateGMRAEsGeometric Mean Relative Absolute Error for the given data...
calculateMAD_MEAN_ratioMAD/Mean ratio for the given data from...
calculateMAEsMean Absolute errors for the given data from dataset(MAEs)
calculateMAPEsMean Absolute Percentage errors for the given data from...
calculateMASEsMean Absolute Scaled Error(MASEs)
calculateMdAPEsMedian Absolute Percentage errors for the given data from...
calculateMPEsMean Percentage errors for the given data from dataset (MPEs)
calculateMSEsMean square errors for the given data from dataset(MSEs)
calculatePB_MAEsPrecentage Better(MAE) for the given data from...
calculateRMSEsRoot Mean square errors for the given data from...
calculateSMAPEsSymmetric Mean Absolute Percentage Errors(SMAPEs)
calculateSMdAPEsSymmetric Median Absolute Percentage Errors(SMdAPEs)
FORAMonthForecastMonthly M3-Competition forecasts
FORAMonthSeriesMonthly M3-competition data
FORAOtherForecastOther M3-Competition forecasts
FORAOtherSeriesOther M3-competition data
FORA-packageA package for time sereis forecast accuracy evaluation
FORAQuartForecastQuarterly M3-Competition forecasts
FORAQuartSeriesQuarterly M3-competition data
FORAYearForecastYearly M3-Competition forecasts
FORAYearSeriesYearly M3-competition data
plotPRDPrediction-Realization Diagram for the given data from...
svcuonghvktqs/FORA documentation built on May 20, 2019, 9:57 a.m.