DESCRIPTION

Package: DeepPatientLevelPrediction
Type: Package
Title: Deep Learning For Patient Level Prediction Using Data In The OMOP Common Data Model
Version: 2.1.0
Date: 08-07-2024
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("Seng", "Chan You", role = c("aut")),
    person("Chungsoo", "Kim", role = c("aut")),
    person("Henrik", "John", role = c("aut"))
    )
Maintainer: Egill Fridgeirsson <e.fridgeirsson@erasmusmc.nl>
Description: A package for creating deep learning patient level prediction models following the OHDSI PatientLevelPrediction framework.
License: Apache License 2.0
URL: https://github.com/OHDSI/DeepPatientLevelPrediction
BugReports: https://github.com/OHDSI/DeepPatientLevelPrediction/issues
VignetteBuilder: knitr
Depends:
    R (>= 4.0.0)
Imports:
    dplyr,
    ParallelLogger (>= 2.0.0),
    PatientLevelPrediction (>= 6.3.2),
    rlang,
    withr,
    reticulate (>= 1.31)
Suggests:
    Eunomia,
    knitr,
    rmarkdown,
    testthat,
    PRROC,
    FeatureExtraction (>= 3.0.0),
    ResultModelManager (>= 0.2.0),
    DatabaseConnector (>= 6.0.0),
    Andromeda
Remotes:
    ohdsi/PatientLevelPrediction,
    ohdsi/ResultModelManager
RoxygenNote: 7.3.1
Encoding: UTF-8
Config/testthat/edition: 3
Config/testthat/parallel: TRUE
Config/reticulate:
  list(
    packages = list(
      list(package = "torch"),
      list(package = "polars"),
      list(package = "tqdm"),
      list(package = "connectorx"),
      list(package = "pyarrow"),
      list(package = "pynvml")
      )
  )