fitSccsModel {SelfControlledCaseSeries} | R Documentation |
Fit the SCCS model
Description
Fit the SCCS model
Usage
fitSccsModel(sccsIntervalData, fitSccsModelArgs)
Arguments
sccsIntervalData |
An object of type SccsIntervalData as created using the createSccsIntervalData function. |
fitSccsModelArgs |
An object of type |
Details
Fits the SCCS model as a conditional Poisson regression. When allowed, coefficients for some or all covariates can be regularized.
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.
Value
An object of type SccsModel
. Generic functions print
, coef
, and
confint
are available.
References
Suchard, M.A., Simpson, S.E., Zorych, I., Ryan, P., and Madigan, D. (2013). Massive parallelization of serial inference algorithms for complex generalized linear models. ACM Transactions on Modeling and Computer Simulation 23, 10