pool_pv

Pool plausible values using Rubin's rules

Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' (2002) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

Francis Huang

MLMusingR

Practical Multilevel Modeling

pool_pv function

<dl><dt>Bs</dt>
<dd>The regression coefficients.</dd>
<dt>SEs</dt>
<dd>The standard errors.</dd>
<dt>ns2</dt>
<dd>The number of observations.</dd>
<dt>dfadj</dt>
<dd>If set to TRUE (default), uses newer df computation. If FALSE, uses standard Rubin pooling formula.</dd></dl>

Arguments

Pool plausible values using Rubin's rules — pool_pv

<dl>

<dt>Bs</dt>
<dd>The regression coefficients.</dd>


<dt>SEs</dt>
<dd>The standard errors.</dd>


<dt>ns2</dt>
<dd>The number of observations.</dd>


<dt>dfadj</dt>
<dd>If set to TRUE (default), uses newer df computation. If FALSE, uses standard Rubin pooling formula.</dd>

</dl>

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pool_pv: Pool plausible values using Rubin's rules

Description

Usage

Arguments