post_stratification_helper

Calculates predicted values from a multilevel regression and the post-stratified state-level estimates

Helper functions to accompany the Blair, Coppock, and Humphreys (2022) "Research Design in the Social Sciences: Declaration, Diagnosis, and Redesign" <https://book.declaredesign.org>. 'rdss' includes datasets, helper functions, and plotting components to enable use and replication of the book.

Graeme Blair

rdss

Companion Datasets and Functions for Research Design in the
Social Sciences

Alexander Coppock

Macartan Humphreys

post_stratification_helper function

<dl><dt>model_fit</dt>
<dd>a model fit object from, e.g., glmer or lm_robust</dd>
<dt>data</dt>
<dd>a data.frame</dd>
<dt>group</dt>
<dd>unquoted name of the group variable to construct estimates for</dd>
<dt>weights</dt>
<dd>unquoted name of post-stratification weights variable</dd></dl>

Arguments

Post stratification estimator helper — post_stratification_helper

<dl>

<dt>model_fit</dt>
<dd>a model fit object from, e.g., glmer or lm_robust</dd>


<dt>data</dt>
<dd>a data.frame</dd>


<dt>group</dt>
<dd>unquoted name of the group variable to construct estimates for</dd>


<dt>weights</dt>
<dd>unquoted name of post-stratification weights variable</dd>

</dl>

post_stratification_helper: Post stratification estimator helper

Description

Usage

Value

Arguments

Details