wls_hat_matrix

Create the "hat matrix" for weighted least squares regression

internal

Provides tools for creating and working with survey replicate weights,
extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>.
Implements bootstrap methods for complex surveys, including the generalized survey bootstrap
as described by Beaumont and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>.
Methods are provided for applying nonresponse adjustments to
both full-sample and replicate weights as described by
Rust and Rao (1996) <doi:10.1177/096228029600500305>.
Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021)
<https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>.
Diagnostic functions are included to compare weights and weighted estimates
from different sets of replicate weights.

Ben Schneider

svrep

Tools for Creating, Updating, and Analyzing Survey Replicate
Weights

wls_hat_matrix function

<dl><dt>X</dt>
<dd>Matrix of predictor variables, with <code>n</code> rows</dd>
<dt>w</dt>
<dd>Vector of weights (should all be nonnegative), of length <code>n</code></dd></dl>

Arguments

Create the "hat matrix" for weighted least squares regression — wls_hat_matrix

<dl>

<dt>X</dt>
<dd>Matrix of predictor variables, with <code>n</code> rows</dd>


<dt>w</dt>
<dd>Vector of weights (should all be nonnegative), of length <code>n</code></dd>

</dl>

wls_hat_matrix: Create the "hat matrix" for weighted least squares regression

Description

Usage

Value

Arguments