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]