new_importance_weights

<a href="https://lifecycle.r-lib.org/articles/stages.html#experimental"><img src="figures/lifecycle-experimental.svg?package=hardhat&version=1.3.1" alt="[Experimental]"></a>
<code>new_importance_weights()</code> is a developer oriented function for constructing
a new importance weights vector. Generally, you should use
<code>importance_weights()</code> instead.

Building modeling packages is hard. A large amount of effort
generally goes into providing an implementation for a new method that
is efficient, fast, and correct, but often less emphasis is put on the
user interface. A good interface requires specialized knowledge about
S3 methods and formulas, which the average package developer might not
have. The goal of 'hardhat' is to reduce the burden around building
new modeling packages by providing functionality for preprocessing,
predicting, and validating input.

Davis Vaughan

hardhat

Construct Modeling Packages

Max Kuhn

Posit Software, PBC 

new_importance_weights function

<dl><dt>x</dt>
<dd>A double vector.</dd>
<dt>...</dt>
<dd>Name-value pairs defining attributes</dd>
<dt>class</dt>
<dd>Name of subclass.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#experimental'><img src='figures/lifecycle-experimental.svg' alt='[Experimental]' /></a>
<code>new_importance_weights()</code> is a developer oriented function for constructing
a new importance weights vector. Generally, you should use
<code>importance_weights()</code> instead.

Construct an importance weights vector — new_importance_weights

<dl>

<dt>x</dt>
<dd>A double vector.</dd>


<dt>...</dt>
<dd>Name-value pairs defining attributes</dd>


<dt>class</dt>
<dd>Name of subclass.</dd>

</dl>

new_importance_weights: Construct an importance weights vector

Description

Usage

Value

Arguments

Examples