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boostmtree

2.0.0

Boosted Multivariate Trees for Longitudinal Data

0packages depend
1.9Kdownloads / year
test coverage
12/13checks pass

Overview

About
Maintained by Udaya B. KogalurFirst published 2026-04-1010 releasesCRAN page ↗

Implements Friedman's gradient descent boosting algorithm for modeling longitudinal response using multivariate tree base learners. Longitudinal response could be continuous, binary, nominal or ordinal. A time-covariate interaction effect is modeled using penalized B-splines (P-splines) with estimated adaptive smoothing parameter. Although the package is design for longitudinal data, it can handle cross-sectional data as well. Implementation details are provided in Pande et al. (2017), Mach Learn DOI:10.1007/s10994-016-5597-1.

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Health

CRAN checks
1NOTE12OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 2.0 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-11
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
83%
Documented parameters
100%
Return-value docs
100%
References docs
71%

Downloads

1.9K
CRAN downloads in the past year
Rank #6,814 · ~5/day · ~159/mo
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1.4K90 days
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 4.3.0
Imports (4)
randomForestSRCparallelsplinesnlme
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer · added in 2.0.0
Authors (3)
Author, Maintainer · added in 2.0.0
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 2.0.0Latest
    2026-04-10 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-04-10
  • R
    R 4.5.0 released · 2025-04-11
  • archivedRemoved from CRAN
    2025-01-19
    issues were not corrected in time In 'randomForestSRC' by the same maintainer despite update
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.5.1
    2022-03-10 · diff ↗
  • unarchivedReturned to CRAN
    2022-03-10
  • archivedRemoved from CRAN
    2022-02-23
    requires archived package 'randomForestSRC'
  • R
    R 4.1.0 released · 2021-05-18
  • 1.5.0
    2020-11-24 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.4.1
    2019-11-21 · diff ↗
  • 1.4.0
    2019-11-20 · diff ↗
Show 10 earlier events
  • R
    R 3.6.0 released · 2019-04-26
  • 1.3.0
    2018-08-13 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.2.1
    2018-02-12 · diff ↗
  • 1.2.0
    2017-09-05 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.1.0
    2016-04-12 · diff ↗
  • 1.0.0
    2016-03-17
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2026-04-10
Total releases
10 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.3.0
Bundled data
194 KB / 2 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet
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