fitGLMModel: Fit a predictive model

In hxia/plp-git-demo: Package for patient level prediction using data in the OMOP Common Data Model

Description

Fit a predictive model

Usage

fitGLMModel(
  population,
  plpData,
  modelType = "logistic",
  excludeCovariateIds = c(),
  includeCovariateIds = c(),
  prior = createPrior("laplace", useCrossValidation = TRUE),
  control = createControl(cvType = "auto", fold = 3, startingVariance = 0.01, tolerance
    = 2e-06, cvRepetitions = 1, selectorType = "byPid", noiseLevel = "silent", threads =
    -1, maxIterations = 3000)
)

Arguments

population	A population object generated by createStudyPopulation, potentially filtered by other functions.
plpData	An object of type plpData as generated using getDbPlpData.
modelType	The type of outcome model that will be used. Possible values are "logistic", "poisson", or "cox".
excludeCovariateIds	Exclude these covariates from the outcome model.
includeCovariateIds	Include only these covariates in the outcome model.
prior	The prior used to fit the model. See createPrior for details.
control	The control object used to control the cross-validation used to determine the hyperparameters of the prior (if applicable). See createControl for details.

hxia/plp-git-demo documentation built on March 19, 2021, 1:54 a.m.