packMBPLSDA
0.9.0Multi-Block Partial Least Squares Discriminant Analysis
Overview
Several functions are provided to implement a MBPLSDA : components search, optimal model components number search, optimal model validity test by permutation tests, observed values evaluation of optimal model parameters and predicted categories, bootstrap values evaluation of optimal model parameters and predicted cross-validated categories. The use of this package is described in Brandolini-Bunlon et al (2019. Multi-block PLS discriminant analysis for the joint analysis of metabolomic and epidemiological data. Metabolomics, 15(10):134).
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-06-0911 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0811 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 71%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 68%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 27.0 median / 148 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
14 12 exported
Complexity
40.6 avg / 148 max
Call network
14 nodes / 3 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
Datasets
People & History
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.9.0Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.8.02020-03-15 · diff ↗
- 0.62019-05-16
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-05-16
- Total releases
- 3 / 7 yrs
- License
- GPL (>= 2.0)
- Bundled data
- 48 KB / 8 files
- Download size
- 85 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet