Methods for Identification of Outliers in Environmental Data

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Documentation for package ‘envoutliers’ version 1.1.0

Help Pages

boxcoxTransform Box-Cox transformation of data - Only intended for developer use
changepoint Changepoint analysis - Only intended for developer use
changepoint.plot Changepoint outlier detection plot - Only intended for developer use
chebyshev.inequality.detect Chebyshev inequality based identification of outliers on segments - Only intended for developer use
control.limits.R Limits for control chart _R_ - Only intended for developer use
control.limits.s Limits for control chart _s_ - Only intended for developer use
control.limits.x Limits for control chart _x_ - Only intended for developer use
controlchart.plot Control chart outliers detection plot - Only intended for developer use
EV.plot Extreme value outlier detection plot - Only intended for developer use
extremal.index.censored Extremal index estimation (Holesovsky and Fusek, 2020) - Only intended for developer use
extremal.index.gomes Extremal index estimation (Gomes, 1993) - Only intended for developer use
extremal.index.intervals Extremal index estimation (Ferro and Segers, 2003) - Only intended for developer use
extremal.index.Kgaps Extremal index estimation (Suveges and Davison, 2010) - Only intended for developer use
extremal.index.runs Extremal index estimation (Smith and Weissman, 1994) - Only intended for developer use
extremal.index.sliding.blocks Extremal index estimation (Northrop, 2015) - Only intended for developer use
find.alpha Parameter _alpha_ for Quantiles of normal distribution based outlier detection - Only intended for developer use
find.L Parameter L for Chebyshev inequality based outlier detection - Only intended for developer use
get.norm Table of Control Charts Constants - Only intended for developer use
grubbs.detect Grubbs test based identification of outliers on segments - Only intended for developer use
grubbs.test Outlier detection using Grubbs test - Only intended for developer use
KRDetect.outliers.changepoint Identification of outliers using changepoint analysis
KRDetect.outliers.controlchart Identification of outliers using control charts
KRDetect.outliers.EV Identification of outliers using extreme value theory
KRDetect.outliers.plot Outlier detection plot
mc.left Left medcouple (LMC) - Only intended for developer use
mc.right Right medcouple (RMC) - Only intended for developer use
mc.test Robust medcouple MC-LR test - Only intended for developer use
Moment.gpd.fit Moment estimates of GP distribution parameters - Only intended for developer use
MRL.plot Mean residual life (MRL) plot
normal.distr.quantiles.detect Normal distribution based identification of outliers on segments - Only intended for developer use
plot.KRDetect Outlier detection plot
return.level.est Return level estimation - Only intended for developer use
segment.length.control Segment length control - Only intended for developer use
smoothing Kernel regression smoothing
stability.plot Stability plot
summary.KRDetect Summary of the outlier detection results