Create seasonality settings
createSeasonalityCovariateSettings( seasonKnots = 5, allowRegularization = FALSE, computeConfidenceIntervals = FALSE )
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.
When fitting the model, should the covariates defined here be allowed to be regularized?
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
allowRegularization = TRUE.
An object of type
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.