rtmle/DESCRIPTION at main · tagteam/rtmle · GitHub

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Package: rtmle
Title: Analysing Longitudinal Observational and Randomized Data with the Targeted Minimum Loss Estimator
Version: 2026.03.19
Authors@R: c(
    person("Helene Charlotti Wiese", "Rytgaard", , "hely@sund.ku.dk", role = c("aut", "cre")),
    person("Thomas Alexander", "Gerds", , "tag@biostat.ku.dk", role = c("aut"),
           comment = c(ORCID = "0000-0002-5955-816X")),
    person("Joshua", "Schwab",
         role = "ctb",
         comment = "Maintainer and primary author of the ltmle package which inspired this work"),
    person("Anders", "Munch", , "a.munch@sund.ku.dk", role = "ctb"),
    person("Johan Sebastian", "Ohlendorff", , "johan.sebastian.ohlendorff@sund.ku.dk", role = "ctb")
  )
Description: Flexible implementation of the targeted minimum loss estimators.
             Some of the functions are readily optimized for large-scale register data.
	     Some of the functions in this package were inspired by the 'ltmle' package developed by Joshua Schwab, Samuel Lendle, Maya Petersen, and Mark J. van der Laan, but rtmle provides an independent implementation with a different architecture and extensions to competing risks.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
VignetteBuilder: R.rsp
Imports:
    stats,
    nnls,
    utils,
    data.table,
    riskRegression,
    Publish,
    xgboost (>= 3.1.2),
    prodlim,
    ggplot2,
    survival,
    lava,
    speedglm,
    glmnet,
    ranger,
    rlang,
    matrixStats,
    Matrix
Suggests:
    plotly,
    R.rsp,
    testthat (>= 3.0.0),
    ltmle,
    MASS,
    knitr,
    rmarkdown
Config/testthat/edition: 3
URL: https://github.com/tagteam/rtmle
BugReports: https://github.com/tagteam/rtmle/issues