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fdaoutlier  

Outlier Detection Tools for Functional Data Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fdaoutlier", "0.2.1")



Attach the package and use:
library("fdaoutlier")
Maintained by
Oluwasegun Taiwo Ojo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-26
Latest Update: 2023-07-11
Description:
A collection of functions for outlier detection in functional data analysis. Methods implemented include directional outlyingness by Dai and Genton (2019) , MS-plot by Dai and Genton (2018) , total variation depth and modified shape similarity index by Huang and Sun (2019) , and sequential transformations by Dai et al. (2020)
How to cite:
Oluwasegun Taiwo Ojo (2020). fdaoutlier: Outlier Detection Tools for Functional Data Analysis. R package version 0.2.1, https://cran.r-project.org/web/packages/fdaoutlier. Accessed 02 Feb. 2025.
Previous versions and publish date:
0.1.0 (2020-11-26 11:40), 0.1.1 (2020-11-28 15:50), 0.2.0 (2021-03-02 14:20)
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