LikelihoodBound.poisres: Calculates the likelihood boundary for a completed Poisson...

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

Calculates the likelihood boundary for a completed Poisson model

Description

LikelihoodBound.poisres solves the confidence interval for a Poisson model, starting at the optimum point and iteratively optimizing end-points of intervals.

Usage

## S3 method for class 'poisres'
LikelihoodBound(x, df, curve_control = list(), control = list(), ...)

Arguments

x	result object from a regression, class poisres
df	a data.table containing the columns of interest
curve_control	a list of control options for the likelihood boundary regression. See the Control_Options vignette for details.
control	list of parameters controlling the convergence, see the Control_Options vignette for details
...	can include the named entries for the curve_control list parameter

Value

returns a list of the final results

See Also

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

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