compute_eigen_decomposition

Compute the eigendecomposition of a matrix

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

compute_eigen_decomposition function

<dl><dt>Sigma</dt>
<dd>A symmetric matrix</dd></dl>

Arguments

Compute the eigendecomposition of a matrix — compute_eigen_decomposition

<dl>

<dt>Sigma</dt>
<dd>A symmetric matrix</dd>

</dl>

compute_eigen_decomposition: Compute the eigendecomposition of a matrix

Description

Usage

Value

Arguments

Details