pinc: Inclusion probabilities in a PIps design
In optimStrat: Choosing the Sample Strategy

Compute the inclusion probabilities to be used in a PIps design with sample size equal to n.

1	pinc(n, x)

`n`	a positive integer indicating the desired sample size.
`x`	a positive numeric vector giving the values of the auxiliary variable.

The inclusion probabilities are calculated as n x_k / t_x and corrected, if necessary, to ensure that they are smaller or equal than one.

A numeric vector giving the inclusion probability of each element.

1 2	x<- 1 + sort( rgamma(100, shape=4/9, scale=108) ) pinc(n=30,x)

optimStrat documentation built on Nov. 11, 2020, 5:07 p.m.

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