rubins.rule

The function takes a vector of standard error estimates and it pools them using Rubin's rule.

Several functions for working with mixed effects regression models for limited dependent variables. The functions facilitate post-estimation of model predictions or margins, and comparisons between model predictions for assessing or probing moderation. Additional helper functions facilitate model comparisons and implements simulation-based inference for model predictions of alternative-specific outcome models. See also, Melamed and Doan (2024, ISBN: 978-1032509518).

David Melamed

catregs

Post-Estimation Functions for Generalized Linear Mixed Models

rubins.rule function

<dl> <dt>std.errors</dt>
<dd>A vector of standard errors to be aggregated using Rubin's rule.</dd></dl>

Arguments

Author

Aggregate Standard Errors using Rubin's Rule. — rubins.rule

<dl>

 <dt>std.errors</dt>
<dd>A vector of standard errors to be aggregated using Rubin's rule.</dd>

</dl>

rubins.rule: Aggregate Standard Errors using Rubin's Rule.

Description

Usage

Value

Arguments

Author

References