tidy_try

Tidy function that returns a tidy data.frame of model results and allows filtering to relevant coefficients. The function will attempt to tidy model objects even when they do not have a tidy method available. For best results, first load the broom package via <code><a href="https://broom.tidymodels.org/">library(broom)</a></code>.

Researchers can characterize and learn about the properties of
research designs before implementation using `DeclareDesign`. Ex ante
declaration and diagnosis of designs can help researchers clarify the
strengths and limitations of their designs and to improve their
properties, and can help readers evaluate a research strategy prior
to implementation and without access to results. It can also make it
easier for designs to be shared, replicated, and critiqued.

Graeme Blair

DeclareDesign

Declare and Diagnose Research Designs

Jasper Cooper

Alexander Coppock

Macartan Humphreys

Neal Fultz

tidy_try function

<dl><dt>fit</dt>
<dd>A model fit, as returned by a modeling function like lm, glm, or estimatr::lm_robust.</dd>
<dt>term</dt>
<dd>A character vector of the terms that represent quantities of interest, i.e., "Z". If FALSE, return the first non-intercept term; if TRUE return all terms.</dd></dl>

Arguments

Tidy function that returns a tidy data.frame of model results and allows filtering to relevant coefficients. The function will attempt to tidy model objects even when they do not have a tidy method available. For best results, first load the broom package via <code><a href='https://broom.tidymodels.org/'>library(broom)</a></code>.

Tidy Model Results and Filter to Relevant Coefficients — tidy_try

<dl>

<dt>fit</dt>
<dd>A model fit, as returned by a modeling function like lm, glm, or estimatr::lm_robust.</dd>


<dt>term</dt>
<dd>A character vector of the terms that represent quantities of interest, i.e., "Z". If FALSE, return the first non-intercept term; if TRUE return all terms.</dd>

</dl>

tidy_try: Tidy Model Results and Filter to Relevant Coefficients

Description

Usage

Value

Arguments

Examples