Cellwise Robust M-Regression and SPADIMO
Overview
Method for fitting a cellwise robust linear M-regression model (CRM, Filzmoser et al. (2020) DOI:10.1016/j.csda.2020.106944) that yields both a map of cellwise outliers consistent with the linear model, and a vector of regression coefficients that is robust against vertical outliers and leverage points. As a by-product, the method yields an imputed data set that contains estimates of what the values in cellwise outliers would need to amount to if they had fit the model. The package also provides diagnostic tools for analyzing casewise and cellwise outliers using sparse directions of maximal outlyingness (SPADIMO, Debruyne et al. (2019) DOI:10.1007/s11222-018-9831-5).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 7includes a package overview page
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 82%
- Return-value docs
- 80%
- Help pages citing references
- 71%
Downloads
Dependencies
Installing crmReg adds 29 packages (17 with compiled code, 26 MB of source tarballs). Heaviest: ggplot2 6.0 MB, gplots 4.6 MB, robustbase 2.2 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.4Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.22020-09-23 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.12020-04-06 · diff ↗
- 1.0.02020-03-31
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-03-31
- Total releases
- 4 / 6 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 11 KB / 1 file
- Download size
- 30 KB
Cite
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