print.DAGassist_validation

Minimal, clean printout for validation results with color coding

Provides robustness checks to align estimands with the identification
that they require. Given a 'dagitty' object and a model specification,
'DAGassist' classifies variables by causal roles, flags problematic controls,
and generates a report comparing the original model with minimal and canonical
adjustment sets. Exports publication-grade reports in 'LaTeX', 'Word', 'Excel',
'dotwhisker', or plain text/'markdown'. 'DAGassist' is built on 'dagitty', an
'R' package that uses the 'DAGitty' web tool (<https://dagitty.net/>) for
creating and analyzing DAGs. Methods draw on Pearl (2009) <doi:10.1017/CBO9780511803161>
and Textor et al. (2016) <doi:10.1093/ije/dyw341>.

Graham Goff

DAGassist

Test Robustness with Directed Acyclic Graphs

Michael Denly

print.DAGassist_validation function

<dl><dt>x</dt>
<dd>the list (class <code>out</code>) from validate_spec</dd>
<dt>n</dt>
<dd>Max number of issues to show (default 10).</dd>
<dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Minimal, clean printout for validation results with color coding — print.DAGassist_validation

<dl>

<dt>x</dt>
<dd>the list (class <code>out</code>) from validate_spec</dd>


<dt>n</dt>
<dd>Max number of issues to show (default 10).</dd>


<dt>...</dt>
<dd>Ignored.</dd>

</dl>

print.DAGassist_validation: Minimal, clean printout for validation results with color coding

Description

Usage

Value

Arguments