Summary statistics, two-sample tests, rank tests, generalised linear models, cumulative link models, Cox models, loglinear models, and general maximum pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. PPS sampling without replacement. Principal components, factor analysis.

Analysis of Complex Survey Samples

package-ubuntu-20.04-r-4.0.5#cran#survey-4.0

<p>Computes the sandwich variance estimator for a generalised linear model fitted to data from a complex sample survey. Designed to be used internally by <code><a href="svyglm.html">svyglm</a></code>.
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>glm.object</code></td>
<td>
<p>A <code><a href="../../stats/html/glm.html">glm</a></code> object</p>
</td>
</tr>
<tr valign="top">
<td><code>design</code></td>
<td>
<p>A <code>survey.design</code> object </p>
</td>
</tr>
</table>

<p><code><a href="svyglm.html">svyglm</a></code>,<code><a href="svydesign.html">svydesign</a></code>, <code><a href="svyCprod.html">svyCprod</a></code> </p>

package-ubuntu-20.04-r-4.0.5#cran#survey-4.0#docs#svy.varcoef

`glm.object`	A `glm` object
`design`	A `survey.design` object

svy.varcoef

Description

Usage

Arguments

Value

Author(s)

See Also

survey

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