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GSE  

Robust Estimation in the Presence of Cellwise and Casewise Contamination and Missing Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GSE", "4.2-1")



Attach the package and use:
library("GSE")
Maintained by
Claudio Agostinelli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-06-05
Latest Update: 2022-12-13
Description:
Robust Estimation of Multivariate Location and Scatter in the Presence of Cellwise and Casewise Contamination and Missing Data.
How to cite:
Claudio Agostinelli (2013). GSE: Robust Estimation in the Presence of Cellwise and Casewise Contamination and Missing Data. R package version 4.2-1, https://cran.r-project.org/web/packages/GSE. Accessed 22 Dec. 2024.
Previous versions and publish date:
3.0 (2013-06-05 10:30), 3.1 (2014-09-25 10:27), 3.2.1 (2015-07-15 13:23), 3.2.2 (2015-09-24 11:47), 3.2.3 (2015-12-30 11:59), 3.2 (2015-07-06 00:17), 3.3.1 (2016-08-05 00:10), 3.3 (2016-02-20 00:42), 4.0 (2016-09-05 13:15), 4.1 (2016-12-30 12:10), 4.2 (2019-04-12 12:53)
Other packages that cited GSE R package
View GSE citation profile
Other R packages that GSE depends, imports, suggests or enhances
Complete documentation for GSE
Functions, R codes and Examples using the GSE R package
Some associated functions: CovEM . CovRobMiss-class . CovRobMissSc-class . GSE-class . GSE . HuberPairwise-class . HuberPairwise . ImpS . SummaryCov-class . TSGS-class . TSGS . auto . boston . calcium . emve-class . emve . geochem . get-methods . gyfilt . horse . partial.mahalanobis . plot-methods . simulation-tools . slrt . wages . 
Some associated R codes: CovEM.R . GSE-utils.R . GSE.R . LRT.R . TSGS.R . emve-utils.R . emve.R . filter.R . generic.R . huberPairwise.R . impute.R . misc.R . plots-utils.R . simulation-utils.R . zzz.R .  Full GSE package functions and examples
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