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envoutliers
View on CRAN: Click
here
Download and install envoutliers package within the R console
Install from CRAN:
install.packages("envoutliers")
Install from Github:
library("remotes")
install_github("cran/envoutliers")
Install by package version:
library("remotes")
install_version("envoutliers", "1.1.0")
Attach the package and use:
library("envoutliers")
Maintained by
Martina Campulova
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-05
Latest Update: 2020-05-07
Description:
Three semi-parametric methods for detection of outliers in environmental data based on kernel regression and subsequent analysis of smoothing residuals. The first method (Campulova, Michalek, Mikuska and Bokal (2018) ) analyzes the residuals using changepoint analysis, the second method is based on control charts (Campulova, Veselik and Michalek (2017) ) and the third method (Holesovsky, Campulova and Michalek (2018) ) analyzes the residuals using extreme value theory (Holesovsky, Campulova and Michalek (2018) ).
How to cite:
Martina Campulova (2019). envoutliers: Methods for Identification of Outliers in Environmental Data. R package version 1.1.0, https://cran.r-project.org/web/packages/envoutliers
Previous versions and publish date:
1.0.0 (2019-11-05 16:20)
Other packages that cited envoutliers R package
View envoutliers citation profile
Other R packages that envoutliers depends,
imports, suggests or enhances
Functions, R codes and Examples using
the envoutliers R package
Some associated functions: EV.plot . KRDetect.outliers.EV . KRDetect.outliers.changepoint . KRDetect.outliers.controlchart . KRDetect.outliers.plot . MRL.plot . Moment.gpd.fit . boxcoxTransform . changepoint . changepoint.plot . chebyshev.inequality.detect . control.limits.R . control.limits.s . control.limits.x . controlchart.plot . extremal.index.Kgaps . extremal.index.censored . extremal.index.gomes . extremal.index.intervals . extremal.index.runs . extremal.index.sliding.blocks . find.L . find.alpha . get.norm . grubbs.detect . grubbs.test . mc.left . mc.right . mc.test . normal.distr.quantiles.detect . plot.KRDetect . return.level.est . segment.length.control . smoothing . stability.plot . summary.KRDetect .
Some associated R codes: changepoint.R . controlchart.R . deprecated.R . envoutliers.R . extremevalue.R . generalFunctions.R . Full envoutliers package functions and examples
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