compute_sample_size: Compute sample size for freedom from disease
In eufmdis.adapt: Analyse 'EuFMDiS' Output Files via a Shiny App
View source: R/compute_sample_size.R
compute_sample_size R Documentation
Compute sample size for freedom from disease
Description
Compute sample size for a one stage freedom from disease survey for given
Population size, design prevalence and accuracy, assuming a perfect
diagnostic test.
Usage
compute_sample_size(N, prev, accuracy)
Arguments
N
Integer containing the Size of the population
prev
Numeric between 0 and 1; design prevalence
accuracy
Numeric between 0 and 1; accuracy of the survey (i.e.
detection probability)
Details
The function finds the optimal sample size using a bisection method.
Value
Sample size (integer).
Author(s)
Ian Kopacka
eufmdis.adapt documentation built on Sept. 12, 2023, 9:06 a.m.
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View source: R/compute_sample_size.R
| compute_sample_size | R Documentation |
Compute sample size for freedom from disease
Description
Compute sample size for a one stage freedom from disease survey for given Population size, design prevalence and accuracy, assuming a perfect diagnostic test.
Usage
compute_sample_size(N, prev, accuracy)
Arguments
N |
Integer containing the Size of the population |
prev |
Numeric between 0 and 1; design prevalence |
accuracy |
Numeric between 0 and 1; accuracy of the survey (i.e. detection probability) |
Details
The function finds the optimal sample size using a bisection method.
Value
Sample size (integer).
Author(s)
Ian Kopacka
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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