tests/testthat/test-PredictionDistribution.R

In PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

# Copyright 2025 Observational Health Data Sciences and Informatics
#
# This file is part of PatientLevelPrediction
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
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#
#     http://www.apache.org/licenses/LICENSE-2.0
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test_that("getPredictionDistribution binary type", {
  ePrediction <- data.frame(
    value = runif(100),
    outcomeCount = round(runif(100)),
    evaluation = rep("Test", 100)
  )
  predSum <- getPredictionDistribution(
    prediction = ePrediction,
    predictionType = "binary",
    typeColumn = "evaluation"
  )

  expect_equal(nrow(predSum), 2)
  expect_equal(ncol(predSum), 12)



  predBinary <- getPredictionDistribution_binary(
    prediction = ePrediction,
    evaluation = rep("Test", 100),
    evalColumn = "evaluation"
  )

  expect_equal(predBinary, predSum)
})


test_that("getPredictionDistribution survival type", {
  ePrediction <- data.frame(
    value = runif(100),
    outcomeCount = round(runif(100)),
    evaluation = rep("Test", 100)
  )

  predSurvival <- getPredictionDistribution_survival(
    prediction = ePrediction,
    evaluation = rep("Test", 100),
    evalColumn = "evaluation"
  )

  expect_true(is.null(predSurvival))
})