Create a parameter object for the function fitOutcomeModel

createFitOutcomeModelArgs(
modelType = "logistic",
stratified = FALSE,
useCovariates = FALSE,
inversePtWeighting = FALSE,
interactionCovariateIds = c(),
excludeCovariateIds = c(),
includeCovariateIds = c(),
prior = createPrior("laplace", useCrossValidation = TRUE),
control = createControl(cvType = "auto", seed = 1, startingVariance = 0.01, tolerance
= 2e-07, cvRepetitions = 10, noiseLevel = "quiet")
)

## Arguments

modelType The type of outcome model that will be used. Possible values are"logistic", "poisson", or "cox". Should the regression be conditioned on the strata defined in thepopulation object (e.g. by matching or stratifying on propensityscores)? Whether to use the covariate matrix in the cohortMethodDataobject in the outcome model. Use inverse probability of treatment weigting? An optional vector of covariate IDs to use to estimate interactionswith the main treatment effect. Exclude these covariates from the outcome model. Include only these covariates in the outcome model. The prior used to fit the model. See createPriorfor details. The control object used to control the cross-validation used todetermine the hyperparameters of the prior (if applicable). SeecreateControl for details.

## Details

Create an object defining the parameter values.