R: Methods for Identification of Outliers in Environmental Data

# Methods for Identification of Outliers in Environmental Data

## Documentation for package ‘envoutliers’ version 1.1.0

- DESCRIPTION file
- Package NEWS

## 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