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

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: LikelihoodBound.poisres(), PoisRun(), PoisRunJoint(), PoisRunMulti(), Residual.poisres(), RunPoissonRegression_Omnibus()