calc_CrIs: Calculate Credible Intervals

In epiforecasts/EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters

Calculate Credible Intervals

Description

Adds symmetric credible intervals based on quantiles.

Usage

calc_CrIs(samples, summarise_by = NULL, CrIs = c(0.2, 0.5, 0.9))

Arguments

samples	A data.table containing at least a value variable
summarise_by	A character vector of variables to group by.
CrIs	Numeric vector of credible intervals to calculate.

Value

A data.table containing the summarise_by variables and the specified lower and upper credible intervals.

Examples

samples <- data.frame(value = 1:10, type = "car")
# add credible intervals
calc_CrIs(samples)
# add 90% credible interval grouped by type
calc_CrIs(samples, summarise_by = "type")

epiforecasts/EpiNow2 documentation built on Dec. 10, 2024, 5:32 p.m.