tests/testthat/test-fitting.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.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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modelSettings <- setLassoLogisticRegression()

test_that("fitPlp", {
  skip_if_offline()
  plpModel <- fitPlp(
    trainData = trainData,
    modelSettings = modelSettings,
    search = "grid",
    analysisId = "fitting",
    analysisPath = tempdir()
  )

  expect_s3_class(plpModel, "plpModel")
})

test_that("fitPlp input errors", {
  skip_if_offline()
  expect_error(
    fitPlp(
      trainData = trainData,
      modelSettings = modelSettings,
      analysisPath = tempDir()
    )
  )

  expect_error(
    fitPlp(
      trainData = list(covariateData = NULL),
      modelSettings = modelSettings,
      analysisId = "fitting",
      analysisPath = tempDir()
    )
  )

  expect_error(
    fitPlp(
      trainData = trainData,
      modelSettings = NULL,
      analysisId = "fitting",
      analysisPath = tempDir()
    )
  )

  expect_error(
    fitPlp(
      trainData = trainData,
      modelSettings = modelSettings,
      analysisId = "fitting"
    )
  )
})