Create seasonality settings — createSeasonalityCovariateSettings • SelfControlledCaseSeries

Create seasonality settings

createSeasonalityCovariateSettings(
  seasonKnots = 5,
  allowRegularization = FALSE,
  computeConfidenceIntervals = FALSE
)

Arguments

seasonKnots: If a single number is provided this is assumed to indicate the number of knots to use for the spline, and the knots are automatically equally spaced across the year. If more than one number is provided these are assumed to be the exact location of the knots in days relative to the start of the year.
allowRegularization: When fitting the model, should the covariates defined here be allowed to be regularized?
computeConfidenceIntervals: Should confidence intervals be computed for the covariates defined here? Setting this to FALSE might save computing time when fitting the model. Will be turned to FALSE automatically when allowRegularization = TRUE.

Value

An object of type seasonalitySettings.

Details

Create an object specifying whether and how seasonality should be included in the model. Seasonality can be included by splitting patient time into calendar months. During a month, the relative risk attributed to season is assumed to be constant, and the risk from month to month is modeled using a cyclic quadratic spline.