Calculates the likelihood boundary for a completed Poisson model
Source:R/BasicRun.R
LikelihoodBound.poisres.RdLikelihoodBound.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
See also
Other Poisson Wrapper Functions:
EventAssignment.poisres(),
PoisRun(),
PoisRunJoint(),
PoissonCurveSolver(),
Residual.poisres(),
RunPoissonEventAssignment(),
RunPoissonEventAssignment_bound(),
RunPoissonRegression_Joint_Omnibus(),
RunPoissonRegression_Omnibus(),
RunPoissonRegression_Residual()