EventAssignment.poisres: Predicts how many events are due to baseline vs excess for a...

In Colossus: "Risk Model Regression and Analysis with Complex Non-Linear Models"

Predicts how many events are due to baseline vs excess for a completed poisson model

Description

EventAssignment.poisres uses user provided data, person-year/event columns, vectors specifying the model, and options to calculate background and excess events for a solved Poisson regression

Usage

## S3 method for class 'poisres'
EventAssignment(
  x,
  df,
  assign_control = list(),
  control = list(),
  a_n = c(),
  ...
)

Arguments

x	result object from a regression, class poisres
df	a data.table containing the columns of interest
assign_control	control list for bounds calculated
control	list of parameters controlling the convergence, see the Control_Options vignette for details
a_n	list of initial parameter values, used to determine the number of parameters. May be either a list of vectors or a single vector.
...	can include the named entries for the assign_control list parameter

Value

returns a list of the final results

See Also

Other Poisson Wrapper Functions: EventAssignment.poisresbound(), LikelihoodBound.poisres(), PoisRun(), PoisRunJoint(), PoisRunMulti(), Residual.poisres()

Colossus documentation built on Feb. 20, 2026, 5:10 p.m.