bplsr
1.0.5Bayesian partial least squares regression
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–test coverage
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Overview
About
Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) doi:10.1214/24-AOAS1947. Suitable for univariate and multivariate regression with high-dimensional data.
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Health
CRAN checks
13OK
Slowest check: 51 s · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMEYes · 117 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 33%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 75%
Downloads
3K
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Rank #8,182 · ~8/day · ~251/mo
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Also on144 r2u5 autocran
Dependencies
Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5
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none
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none
Enhances (0)
none
Reverse dependencies
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0indirect
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Code & Tests
People & History
People (6)
Maintainer (1)
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Authors (1)
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Contributors (5)
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Package metadata
- First published
- 2024-11-12
- Total releases
- 6 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 1.7 MB / 1 file
- Download size
- 1.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet