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[Experimental]

importance_weights() creates a vector of importance weights which allow you to apply a context dependent weight to your observations. Importance weights are supplied as a non-negative double vector, where fractional values are allowed.

Usage

importance_weights(x)

Arguments

x

A double vector.

Value

A new importance weights vector.

Examples

importance_weights(c(1.5, 2.3, 10))
#> <importance_weights[3]>
#> [1]  1.5  2.3 10.0