Robust Linear Regression with Compositional Data as Covariates
Overview
Robust regression methods for compositional data. The distribution of the estimates can be approximated with various bootstrap methods. These bootstrap methods are available for the compositional as well as for standard robust regression estimates. This allows for direct comparison between them.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- WARNING12 OK, 1 WARNING2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 30%
Downloads
Repository
Checks run against github.com/dakep/complmrob on 2026-10-21.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing complmrob adds 19 packages (8 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, robustbase 2.2 MB, isoband 1.5 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.7.1Latest
- 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
- RR 4.0.0 released · 2020-04-24
- 0.7.02019-09-17 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.6.2
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.6.12015-10-18 · diff ↗
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2014-08-13
- Total releases
- 8 / 12 yrs
- License
- GPL (>= 2) OSI
- Download size
- 18 KB
Cite
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