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ConfidenceEllipse  

Computation of 2D and 3D Elliptical Joint Confidence Regions
View on CRAN: Click here


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

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

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



Attach the package and use:
library("ConfidenceEllipse")
Maintained by
Christian L. Goueguel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-22
Latest Update: 2024-04-22
Description:
Computing elliptical joint confidence regions at a specified confidence level. It provides the flexibility to estimate either classical or robust confidence regions, which can be visualized in 2D or 3D plots. The classical approach assumes normality and uses the mean and covariance matrix to define the confidence regions. Alternatively, the robustified version employs estimators like minimum covariance determinant (MCD) and M-estimator, making them less sensitive to outliers and departures from normality. Furthermore, the functions allow users to group the dataset based on categorical variables and estimate separate confidence regions for each group. This capability is particularly useful for exploring potential differences or similarities across subgroups within a dataset. Varmuza and Filzmoser (2009, ISBN:978-1-4200-5947-2). Johnson and Wichern (2007, ISBN:0-13-187715-1). Raymaekers and Rousseeuw (2019) <doi:10.1080/00401706.2019.1677270>.
How to cite:
Christian L. Goueguel (2024). ConfidenceEllipse: Computation of 2D and 3D Elliptical Joint Confidence Regions. R package version 1.0.0, https://cran.r-project.org/web/packages/ConfidenceEllipse. Accessed 12 Nov. 2024.
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