CRAN/E | fdaoutlier

fdaoutlier

Outlier Detection Tools for Functional Data Analysis

Installation

About

A collection of functions for outlier detection in functional data analysis. Methods implemented include directional outlyingness by Dai and Genton (2019) doi:10.1016/j.csda.2018.03.017, MS-plot by Dai and Genton (2018) doi:10.1080/10618600.2018.1473781, total variation depth and modified shape similarity index by Huang and Sun (2019) doi:10.1080/00401706.2019.1574241, and sequential transformations by Dai et al. (2020)

github.com/otsegun/fdaoutlier
Bug report File report

Key Metrics

Version 0.2.0
R ≥ 2.10
Published 2021-03-02 934 days ago
Needs compilation? yes
License GPL-3
CRAN checks fdaoutlier results
Language en-US

Downloads

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Maintainer

Maintainer

Oluwasegun Taiwo Ojo

seguntaiwoojo@gmail.com

Authors

Oluwasegun Taiwo Ojo

aut / cre / cph

Rosa Elvira Lillo

aut

Antonio Fernandez Anta

aut / fnd

Material

README
NEWS
Reference manual
Package source

In Views

FunctionalData

Vignettes

Simulation Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fdaoutlier archive

Depends

R ≥ 2.10

Imports

MASS

Suggests

testthat ≥ 2.1.0
covr
spelling
knitr
rmarkdown