| prevcounts {inctools} | R Documentation |
Prevalence and Relative Standard Errors by Counts
Description
Prevalence and Relative Standard Errors by Counts
Usage
prevcounts(N, N_H, N_testR, N_R, DE_H = 1, DE_R = 1)
Arguments
N |
Counts of total survey sample size(s) (vector/integer). |
N_H |
Number of HIV positive found in survey(s) (vector/integer). |
N_testR |
Number tested for recency in survey(s) (vector/integer). |
N_R |
Number of recent cases in survey(s) (vector/integer). |
DE_H |
Design effect of HIV prevalence test (vector/numeric), greater than or equal to 1. If multiple surveys are entered but only one design effect is specified, function assumes entered design effect is identical for both surveys. |
DE_R |
Design effect of recency test (vector/numeric), greater than or equal to 1. If multiple surveys are entered but only one design effect is specified, function assumes entered design effect is identical for both surveys. |
Details
The package contains long form documentation in the form of vignettes that cover the use of the main fucntions. Use browseVignettes(package="inctools") to access them.
Value
Prevalences and relative standard errors. Design effects are assumed negligible unless user specifies otherwise.
Examples
prevcounts(N = 5000, N_H = 1000, N_testR = 1000, N_R = 70, DE_R = 1.1)
prevcounts (N = c(5000,5000), N_H = c(1000,1000), N_testR = c(1000,1000),
N_R = c(100,70), DE_H = c(1,1.1), DE_R = c(1,1.1))