`calculate.bounds.effective_count`

Calculate the 95 percent confidence interval of an estimate given effective counts. This is used to calculate confidence intervals from EMOD calibration data that comes from a Beta distribution

Description

Calculate the 95 percent confidence interval of an estimate given effective counts. This is used to calculate confidence intervals from EMOD calibration data that comes from a Beta distribution

Usage

calculate.bounds.effective_count(mean_vectors, effective_counts)

Arguments

Argument	Description
`effective_counts`	A vector of the effective number of samples from which the measurement was made
`mean_vector`	A vector of the estimated value of a measurement

Value

A tibble with columns lb and ub corresponding to upper and lower bounds (95 % CI)