importance_weights: Importance weights
In hardhat: Construct Modeling Packages
importance_weights R Documentation
Importance weights
Description
![[Experimental]](../help/figures/lifecycle-experimental.svg)
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.
See Also
frequency_weights()
Examples
importance_weights(c(1.5, 2.3, 10))
hardhat documentation built on June 30, 2022, 5:05 p.m.
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| importance_weights | R Documentation |
Importance weights
Description
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.
See Also
frequency_weights()
Examples
importance_weights(c(1.5, 2.3, 10))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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