ConfidenceEllipse
1.1.0Computation of 2D and 3D Elliptical Joint Confidence Regions
Overview
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.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 40%
Downloads
Repository
Stars over time
Releases over time
Issues over time
Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/christiangoueguel/confidenceellipse on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 7.5 median / 10 max
- Test cases
- 16 / 0.50 per code line
Test coverage
Line coverage
85%
Expression
81.3%
Tests / Examples
85.3% / 78% ex
Functions
4 2 exported
Complexity
7.5 avg / 10 max
Call network
4 nodes / 2 edges
Call graph
Open call graph →Lowest coverage
4 functions| Function | Cyclo | Coverage |
|---|---|---|
| transform_2d | 5 | 73% |
| transform_3d | 5 | 76% |
| confidence_ellipse exp | 10 | 91% |
| confidence_ellipsoid exp | 10 | 94% |
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.1.0Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.02024-04-22
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-04-22
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 6.3 KB / 1 file
- Download size
- 2.6 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet