freedom (version 1.0.1)

hse_infinite: hse_infinite

Description

Herd Sensitivity calculated with the assumption of an infinite population

Usage

hse_infinite(id, n_tested, test_Se, dp)

Arguments

id

The herdid

n_tested

The number tested in each URG

test_Se

The sensitivity of the test. This may have length == 1 if all URG and all herds have the same test_Se. It may also have length(test_Se) == length(n_tested).

dp

The design prevalence (dp) could be length(dp) == 1 if all URG and herds have the same dp. It could alternatively be length(dp) == length(n_tested) if diff

Value

A data.frame. A dataframe is returned with 2 columns: "id" and HSe

Details

Calculate the Herd sensitivity when multiple samples from individual units within the herd. The function does not use the population size to adjust the estimate. This is consistent with the assumption of an infinite population size and is generally used when less than 10

Examples

# NOT RUN {
df <- data.frame(id = seq(1:20),
                 n_tested = rpois(20, 5),
                 test_Se = 0.3,
                 dp = 0.05)

## Calculate the herd level sensitivity for each of these herds given
## the assumption that the herds have an infinite size.
hse_infinite(df$id,
             df$n_tested,
             df$test_Se,
             df$dp)
# }