createFitSccsModelArgs: Create a parameter object for the function fitSccsModel

In SelfControlledCaseSeries: Self-Controlled Case Series

Create a parameter object for the function fitSccsModel

Description

Create a parameter object for the function fitSccsModel

Usage

createFitSccsModelArgs(
  prior = createPrior("laplace", useCrossValidation = TRUE),
  control = createControl(cvType = "auto", selectorType = "byPid", startingVariance =
    0.1, seed = 1, resetCoefficients = TRUE, noiseLevel = "quiet"),
  profileGrid = NULL,
  profileBounds = c(log(0.1), log(10))
)

Arguments

prior	The prior used to fit the model. See Cyclops::createPrior for details.
control	The control object used to control the cross-validation used to determine the hyperparameters of the prior (if applicable). See Cyclops::createControl for details.
profileGrid	A one-dimensional grid of points on the log(relative risk) scale where the likelihood for coefficient of variables is sampled. See details.
profileBounds	The bounds (on the log relative risk scale) for the adaptive sampling of the likelihood function.

Details

Create an object defining the parameter values.

Likelihood profiling is only done for variables for which profileLikelihood is set to TRUE when calling createEraCovariateSettings(). Either specify the profileGrid for a completely user- defined grid, or profileBounds for an adaptive grid. Both should be defined on the log IRR scale. When both profileGrid and profileGrid are NULL likelihood profiling is disabled.

To make use of the more efficient Hermite interpolation in evidence synthesis, set profileGrid = seq(log(0.1), log(10), length.out = 8) and profileBounds = NULL.

Value

An object of type FitSccsModelArgs.

SelfControlledCaseSeries documentation built on May 8, 2026, 5:08 p.m.