Package: DTRlearn2
Title: Statistical Learning Methods for Optimizing Dynamic Treatment
        Regimes
Version: 2.1
Authors@R: c(
    person("Yuan", "Chen", email= "irene.yuan.chen@gmail.com", role=c("aut", "cre")),
    person("Ying", "Liu", role=c("aut")),
    person("Tianchen", "Xu", role = c("ctb"), comment=c(ORCID="0000-0002-0102-7630")),
    person("Donglin", "Zeng", role = c("ctb")),
    person("Yuanjia", "Wang", role = c("ctb")))
Description: We provide a comprehensive software to estimate general
        K-stage DTRs from SMARTs with Q-learning and a variety of
        outcome-weighted learning methods. Penalizations are allowed
        for variable selection and model regularization. With the
        outcome-weighted learning scheme, different loss functions -
        SVM hinge loss, SVM ramp loss, binomial deviance loss, and L2
        loss - are adopted to solve the weighted classification problem
        at each stage; augmentation in the outcomes is allowed to
        improve efficiency. The estimated DTR can be easily applied to
        a new sample for individualized treatment recommendations or
        DTR evaluation.
Depends: kernlab,MASS,Matrix,foreach,glmnet,WeightSVM (>= 1.7-11), R
        (>= 2.10)
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.1.0
Repository: https://ychen178.r-universe.dev
Date/Publication: 2026-09-09 20:42:07 UTC
RemoteUrl: https://github.com/ychen178/dtrlearn2
RemoteRef: HEAD
RemoteSha: 0d4f88d6a75c17a3b86216971e48935d1d43755c
NeedsCompilation: no
Packaged: 2026-10-09 10:58:08 UTC; root
Author: Yuan Chen [aut, cre],
  Ying Liu [aut],
  Tianchen Xu [ctb] (ORCID: <https://orcid.org/0000-0002-0102-7630>),
  Donglin Zeng [ctb],
  Yuanjia Wang [ctb]
Maintainer: Yuan Chen <irene.yuan.chen@gmail.com>