pinc: Inclusion probabilities in a PIps design
| pinc | R Documentation |
Inclusion probabilities in a PIps design
Description
Compute the inclusion probabilities to be used in a PIps design with sample size equal to n.
Usage
pinc(n, x)
Arguments
n |
a positive integer indicating the desired sample size. |
x |
a positive numeric vector giving the values of the auxiliary variable. |
Details
The inclusion probabilities are calculated as n\times x_{k}/t_{x} and corrected, if necessary, to ensure that they are smaller or equal than one.
Value
A numeric vector giving the inclusion probability of each element.
Examples
x<- 1 + sort( rgamma(100, shape=4/9, scale=108) )
pinc(n=30,x)
