Recommend an appropriate statistical or ML method (AI agent)

Uses an LLM to inspect the structure of a clinical dataset and suggest an appropriate statistical or machine learning approach, with reasoning. This is an assistive tool, not a replacement for expert judgment.

Usage

tr_recommend_method(data, outcome, context = NULL)

Arguments

data: A data frame, typically the output of tr_load_clinical().
outcome: Character. Name of the outcome column of interest.
context: Optional character string giving extra clinical context (e.g. "predicting 30-day readmission in heart failure patients").

Value

Invisibly returns the raw text recommendation (character string). Also prints the recommendation to console.

Examples

if (FALSE) { # \dontrun{
tr_recommend_method(data, outcome = "disease",
  context = "predicting diabetes onset in adults")
} # }