linquad

A dataset containing simulated data where the outcome depends quadratically
on a partially observed covariate.

datasets

Bootstraps and imputes incomplete datasets. Then performs inference on estimates obtained from analysing the imputed datasets as proposed by von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.

Jonathan Bartlett

bootImpute

Bootstrap Inference for Multiple Imputation

linquad function

A data frame with 1000 rows and 5 variables:<dl>
 <dt>y</dt>
<dd>Continuous outcome</dd> <dt>z</dt>
<dd>Fully observed covariate, with linear effect on outcome</dd> <dt>x</dt>
<dd>Partially observed normally distributed covariate, with quadratic effect on outcome</dd> <dt>v</dt>
<dd>An auxiliary variable (i.e. not contained in the substantive model)</dd>
</dl>

Format

Simulated example data with continuous outcome and quadratic covariate effects — linquad

A data frame with 1000 rows and 5 variables:<dl>
 <dt>y</dt>
<dd>Continuous outcome</dd>

 <dt>z</dt>
<dd>Fully observed covariate, with linear effect on outcome</dd>

 <dt>x</dt>
<dd>Partially observed normally distributed covariate, with quadratic effect on outcome</dd>

 <dt>v</dt>
<dd>An auxiliary variable (i.e. not contained in the substantive model)</dd>


</dl>

linquad: Simulated example data with continuous outcome and quadratic covariate effects

Description

Usage

Arguments

Format