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mrct  

Outlier Detection of Functional Data Based on the Minimum Regularized Covariance Trace Estimator
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mrct", "0.0.1.0")



Attach the package and use:
library("mrct")
Maintained by
Jeremy Oguamalam
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-17
Latest Update: 2023-08-17
Description:
Detect outlying observations in functional data sets based on the minimum regularized covariance trace (MRCT) estimator. Includes implementation of Oguamalam et al. (2023) .
How to cite:
Jeremy Oguamalam (2023). mrct: Outlier Detection of Functional Data Based on the Minimum Regularized Covariance Trace Estimator. R package version 0.0.1.0, https://cran.r-project.org/web/packages/mrct. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Complete documentation for mrct
Functions, R codes and Examples using the mrct R package
Some associated functions: innerProduct . mrct.ise . mrct . mrct.plot . mrct.rgauss . mrct.sparse . mrct.sparse.plot . 
Some associated R codes: mrct_functions.R .  Full mrct package functions and examples
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