Other packages > Find by keyword >

envoutliers  

Methods for Identification of Outliers in Environmental Data
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]
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. Accessed 23 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:35), 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
Complete documentation for envoutliers
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

MixSIAR  
Bayesian Mixing Models in R
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fa ...
Download / Learn more Package Citations See dependency  
gfcanalysis  
Tools for Working with Hansen et al. Global Forest Change Dataset
Supports analyses using the Global Forest Change dataset released by Hansen et al. gfcanalysis was ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fitscape  
Classes for Fitness Landscapes and Seascapes
Convenient classes to model fitness landscapes and fitness seascapes. A low-level package with whic ...
Download / Learn more Package Citations See dependency  
ODS  
Statistical Methods for Outcome-Dependent Sampling Designs
Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency. In OD ...
Download / Learn more Package Citations See dependency  

27,889

R Packages

239,283

Dependencies

74,019

Author Associations

27,890

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA