optimStrat (version 2.0)

pinc: 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.

Value

A numeric vector giving the inclusion probability of each element.

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.

Examples

# NOT RUN {
x<- 1 + sort( rgamma(100, shape=4/9, scale=108) )
pinc(n=30,x)
# }