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Kish effective sample size: \((\sum w_i)^2 / \sum w_i^2\).

Source: R/weights.R
morie_weights_ess.Rd

Kish effective sample size: \((\sum w_i)^2 / \sum w_i^2\).

Usage

morie_weights_ess(weights)

Arguments

weights

Numeric vector of unit-level design weights.

Value

A logical scalar.

Examples

set.seed(1)
morie_weights_ess(runif(30, 0.5, 2))
#> [1] 26.81843