Other packages > Find by keyword >

specleanr  

Detecting Environmental Outliers in Data Analysis Pipelines
View on CRAN: Click here


Download and install specleanr package within the R console
Install from CRAN:
install.packages("specleanr")

Install from Github:
library("remotes")
install_github("cran/specleanr")

Install by package version:
library("remotes")
install_version("specleanr", "1.0.0")



Attach the package and use:
library("specleanr")
Maintained by
Anthony Basooma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-10
Latest Update: 2025-12-10
Description:
A framework used to detect and handle outliers during data analysis workflows. Outlier detection is a statistical concept with applications in data analysis workflows, highlighting records that are suspiciously high or low. Outlier detection in distribution models was initiated by Chapman (1991) (available at <https://www.researchgate.net/publication/332537800_Quality_control_and_validation_of_point-sourced_environmental_resource_data>), who developed the reverse jackknifing method. The concept was further developed and incorporated into different R packages, including 'flexsdm' (Velazco et al., 2022, <doi:10.1111/2041-210X.13874>) and 'biogeo' (Robertson et al., 2016 <doi:10.1111/ecog.02118>). We compiled various outlier detection methods obtained from the literature, including those elaborated in Dastjerdy et al. (2023) <doi:10.3390/geotechnics3020022> and Liu et al. (2008) <doi:10.1109/ICDM.2008.17>. In this package, we introduced the ensembling aspect, where multiple outlier detection methods are used to flag the record as either an absolute outlier. The concept can also be applied in general data analysis, as well as during the development of species distribution models.
How to cite:
Anthony Basooma (2025). specleanr: Detecting Environmental Outliers in Data Analysis Pipelines. R package version 1.0.0, https://cran.r-project.org/web/packages/specleanr. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:08), 1.0.0 (2025-11-25 21:20)
Other packages that cited specleanr R package
View specleanr citation profile
Other R packages that specleanr depends, imports, suggests or enhances
Complete documentation for specleanr
Functions, R codes and Examples using the specleanr R package
Full specleanr package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
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  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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