validate_fit_inputs: Complete input validation for fit functions

In summata: Publication-Ready Summary Tables and Forest Plots

Complete input validation for fit functions

Description

Master validation function called by fit(), uniscreen(), fullfit(). Performs comprehensive checks on data structure, variable existence, numeric parameter ranges, and model-outcome consistency. Returns validated parameters with auto-corrections applied when appropriate.

Usage

validate_fit_inputs(
  data,
  outcome,
  predictors,
  model_type,
  family = NULL,
  conf_level = 0.95,
  digits = 2,
  p_digits = 3,
  p_threshold = NULL,
  auto_correct_model = TRUE
)

Arguments

data	Data frame or data.table containing all variables.
outcome	Character string outcome specification (may include Surv()).
predictors	Character vector of predictor variable names.
model_type	Character string model type to validate.
family	GLM family object, function, or string if applicable.
conf_level	Numeric confidence level (must be between 0 and 1).
digits	Integer number of decimal places for effect estimates.
p_digits	Integer number of decimal places for p-values.
p_threshold	Numeric p-value threshold for significance highlighting.
auto_correct_model	Logical whether to auto-correct model type mismatches.

Value

List with validated model_type, family, auto_corrected flag.

summata documentation built on May 7, 2026, 5:07 p.m.