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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "boostmtree" in publications use:'
type: software
title: 'boostmtree: Boosted Multivariate Trees for Longitudinal Data'
version: 2.0.7
identifiers:
- type: doi
  value: 10.32614/CRAN.package.boostmtree
abstract: 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 designed for longitudinal data, it can handle cross-sectional data
  as well. Implementation details are provided in Pande et al. (2017), Mach Learn
  <https://doi.org/10.1007/s10994-016-5597-1>. This is a Cleveland Clinic Foundation
  patched build correcting terminal-node coefficient divergence when fitting with
  cross-validation enabled.
authors:
- family-names: Ishwaran
  given-names: Hemant
  email: hemant.ishwaran@gmail.com
- family-names: Pande
  given-names: Amol
  email: amoljpande@gmail.com
- family-names: Kogalur
  given-names: Udaya B.
  email: ubk@kogalur.com
preferred-citation:
  type: manual
  title: Boosted Multivariate Trees for Longitudinal Data
  authors:
  - family-names: Ishwaran
    given-names: H.
  - family-names: Pande
    given-names: A.
  - family-names: Kogalur
    given-names: U.B.
  publisher:
    name: manual
  year: '2026'
  notes: R package version 2.0.7; Cleveland Clinic Foundation patched build, not a
    CRAN release; https://github.com/ehrlinger/boostmtree_src
  url: https://github.com/ehrlinger/boostmtree_src
repository: https://ehrlinger.r-universe.dev
repository-code: https://github.com/ehrlinger/boostmtree_src
commit: b90180e4aab5fd67ab048bb20edc8c5c19956602
url: https://ishwaran.org/
date-released: '2026-10-20'
contact:
- family-names: Kogalur
  given-names: Udaya B.
  email: ubk@kogalur.com