calc_CrI: Calculate Credible Interval
In EpiNow2: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
calc_CrI R Documentation
Calculate Credible Interval
Description
![[Stable]](../help/figures/lifecycle-stable.svg)
Adds symmetric a credible interval based on quantiles.
Usage
calc_CrI(samples, summarise_by = NULL, CrI = 0.9)
Arguments
samples
A data.table containing at least a value variable
summarise_by
A character vector of variables to group by.
CrI
Numeric between 0 and 1. The credible interval for which to
return values. Defaults to 0.9.
Value
A data.table containing the upper and lower bounds for the specified
credible interval.
Examples
samples <- data.frame(value = 1:10, type = "car")
# add 90% credible interval
calc_CrI(samples)
# add 90% credible interval grouped by type
calc_CrI(samples, summarise_by = "type")
EpiNow2 documentation built on Sept. 26, 2023, 5:11 p.m.
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| calc_CrI | R Documentation |
Calculate Credible Interval
Description
Adds symmetric a credible interval based on quantiles.
Usage
calc_CrI(samples, summarise_by = NULL, CrI = 0.9)
Arguments
samples |
A data.table containing at least a value variable |
summarise_by |
A character vector of variables to group by. |
CrI |
Numeric between 0 and 1. The credible interval for which to return values. Defaults to 0.9. |
Value
A data.table containing the upper and lower bounds for the specified credible interval.
Examples
samples <- data.frame(value = 1:10, type = "car")
# add 90% credible interval
calc_CrI(samples)
# add 90% credible interval grouped by type
calc_CrI(samples, summarise_by = "type")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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