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VCBART

1.2.5

Fit Varying Coefficient Models with Bayesian Additive Regression Trees

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Overview

About
Maintained by Sameer K. DeshpandeFirst published 2025-12-092 releasesCRAN page ↗GitHub ↗

Fits linear varying coefficient (VC) models, which assert a linear relationship between an outcome and several covariates but allow that relationship (i.e., the coefficients or slopes in the linear regression) to change as functions of additional variables known as effect modifiers, by approximating the coefficient functions with Bayesian Additive Regression Trees. Implements a Metropolis-within-Gibbs sampler to simulate draws from the posterior over coefficient function evaluations. VC models with independent observations or repeated observations can be fit. For more details see Deshpande et al. (2026) doi:10.1214/24-BA1470.

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CRAN checks
13OK
Slowest check: 3.8 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
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Coverage
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Documentation · exports
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Check history
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Documented parameters
84%
Return-value docs
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References docs
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93 commits · Last activity 2026-05-12 · 0% stars, 30d

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2025-03-19 · 212026-07-07 · 22

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1 development-tooling and community-health practice detected across 1 family in the upstream repository

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How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

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3 external dependencies (excludes base and recommended)
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RcppMASS
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Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.2.5Latest
    2026-04-21 · current release · diff ↗
  • 1.2.4
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-12-09
Total releases
2 / 1 yrs
License
GPL (>= 3) OSI
Download size
48 KB
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