print.statlingua_explanation

Print a formatted version of an LLMs explanation using <code><a href="/link/cat()?package=statlingua&version=0.1.0" data-mini-rdoc="statlingua::cat()">cat()</a></code>.

Transform complex statistical output into straightforward, understandable, and context-aware natural language descriptions using Large Language Models (LLMs), making complex analyses more accessible to individuals with varying statistical expertise. It relies on the 'ellmer' package to interface with LLM providers including OpenAI <https://openai.com/>, Google AI Studio <https://aistudio.google.com/>, and Anthropic <https://www.anthropic.com/> (API keys are required and managed via 'ellmer').

Brandon Greenwell

statlingua

Explain Statistical Output with Large Language Models

print.statlingua_explanation function

<dl><dt>x</dt>
<dd>A statlingua_explanation object.</dd>
<dt>...</dt>
<dd>Additional optional arguments to be passed to <code><a href="/link/print.default()?package=statlingua&version=0.1.0" data-mini-rdoc="statlingua::print.default()">print.default()</a></code>.</dd></dl>

Arguments

Print a formatted version of an LLMs explanation using <code><a href='https://rdrr.io/r/base/cat.html'>cat()</a></code>.

Print LLM explanation — print.statlingua_explanation

<dl>

<dt>x</dt>
<dd>A statlingua_explanation object.</dd>


<dt>...</dt>
<dd>Additional optional arguments to be passed to <code><a href='https://rdrr.io/r/base/print.default.html'>print.default()</a></code>.</dd>

</dl>

print.statlingua_explanation: Print LLM explanation

Description

Usage

Value

Arguments