Package: PatientLevelPrediction
Type: Package
Title: Develop Clinical Prediction Models Using the Common Data Model
Version: 6.7.0
Date: 2026-09-21
Authors@R: c(
    person("Egill", "Fridgeirsson", email = "e.fridgeirsson@erasmusmc.nl", role = c("aut", "cre")),
    person("Jenna", "Reps", email = "jreps@its.jnj.com", role = c("aut")),
    person("Martijn", "Schuemie", role = c("aut")),
    person("Marc", "Suchard", role = c("aut")),
    person("Patrick", "Ryan", role = c("aut")),
    person("Peter", "Rijnbeek", role = c("aut")),
    person("Observational Health Data Science and Informatics", role = c("cph")))
Description: A user friendly way to create patient level prediction
        models using the Observational Medical Outcomes Partnership
        Common Data Model. Given a cohort of interest and an outcome of
        interest, the package can use data in the Common Data Model to
        build a large set of features. These features can then be used
        to fit a predictive model with a number of machine learning
        algorithms. This is further described in Reps (2017)
        <doi:10.1093/jamia/ocy032>.
License: Apache License 2.0
URL: https://ohdsi.github.io/PatientLevelPrediction/,
        https://github.com/OHDSI/PatientLevelPrediction
BugReports: https://github.com/OHDSI/PatientLevelPrediction/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
Imports: Andromeda (>= 1.0.0), Cyclops (>= 3.0.0), DatabaseConnector
        (>= 6.0.0), digest, dbplyr (>= 2.4.0), dplyr, FeatureExtraction
        (>= 3.7.0), Matrix, memuse, ParallelLogger (>= 2.0.2), pROC,
        PRROC, rlang, SqlRender (>= 1.18.0), tidyr, utils
Suggests: BrokenAdaptiveRidge, curl, Eunomia (>= 2.0.0), glmnet,
        ggplot2, gridExtra, IterativeHardThresholding, knitr, lightgbm
        (>= 4.2.0), Metrics, mgcv, OhdsiShinyAppBuilder (>= 1.0.0),
        parallel, pkgload, polspline, readr, ResourceSelection,
        ResultModelManager (>= 0.6.0), reticulate (>= 1.41), rmarkdown,
        RSQLite, scoring, survival, survminer, testthat, withr, xgboost
        (> 1.3.2.1)
RoxygenNote: 7.3.3
Encoding: UTF-8
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: make default-jdk libicu-dev libxml2-dev libx11-dev
        xz-utils
Repository: https://ohdsi.r-universe.dev
Date/Publication: 2026-09-21 11:43:21 UTC
RemoteUrl: https://github.com/ohdsi/patientlevelprediction
RemoteRef: HEAD
RemoteSha: c0c3e5b691399fc4135b4ee4cdfa956ed4f8c21b
NeedsCompilation: no
Packaged: 2026-10-01 19:57:38 UTC; root
Author: Egill Fridgeirsson [aut, cre],
  Jenna Reps [aut],
  Martijn Schuemie [aut],
  Marc Suchard [aut],
  Patrick Ryan [aut],
  Peter Rijnbeek [aut],
  Observational Health Data Science and Informatics [cph]
Maintainer: Egill Fridgeirsson <e.fridgeirsson@erasmusmc.nl>