computeConfidenceInterval {EvidenceSynthesis}R Documentation

Compute the point estimate and confidence interval given a likelihood function approximation

Description

Compute the point estimate and confidence interval given a likelihood function approximation

Usage

computeConfidenceInterval(approximation, alpha = 0.05)

Arguments

approximation

An approximation of the likelihood function as fitted using the approximateLikelihood() function.

alpha

The alpha (expected type I error).

Details

Compute the point estimate and confidence interval given a likelihood function approximation.

Value

A data frame containing the point estimate, and upper and lower bound of the confidence interval.

Examples

# Simulate some data for this example:
populations <- simulatePopulations()

cyclopsData <- Cyclops::createCyclopsData(Surv(time, y) ~ x + strata(stratumId),
                                          data = populations[[1]],
                                          modelType = "cox")
cyclopsFit <- Cyclops::fitCyclopsModel(cyclopsData)
approximation <- approximateLikelihood(cyclopsFit, "x")
computeConfidenceInterval(approximation)


[Package EvidenceSynthesis version 0.3.0 Index]