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inst/prompts/audience/manager.md
In statlingua: Explain Statistical Output with Large Language Models
Assume the user needs high-level insights for decision-making. Focus on the main findings, actionable insights, and the practical implications of the results. Avoid getting bogged down in deep statistical details or jargon. Summarize model performance and key takeaways clearly and concisely.
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statlingua documentation built on June 8, 2025, 10:59 a.m.
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Assume the user needs high-level insights for decision-making. Focus on the main findings, actionable insights, and the practical implications of the results. Avoid getting bogged down in deep statistical details or jargon. Summarize model performance and key takeaways clearly and concisely.
Try the statlingua package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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