crmReg
1.0.4Cellwise 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
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 82%
- Return-value docs
- 80%
- References docs
- 71%
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Nothing depends on this yet.
Code & Tests
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People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- Installed size
- not tracked yet
- With dependencies
- not tracked yet