check_variable_health: Check variable health for matching

In couplr: Optimal Pairing and Matching via Linear Assignment

Check variable health for matching

Description

Analyzes variables for common problems that can affect matching quality: constant columns, high missingness, extreme skewness, and outliers.

Usage

check_variable_health(
  left,
  right,
  vars,
  high_missingness_threshold = 0.5,
  low_variance_threshold = 1e-06
)

Arguments

left	Data frame of left units
right	Data frame of right units
vars	Character vector of variable names to check
high_missingness_threshold	Threshold for high missingness warning (default: 0.5)
low_variance_threshold	Threshold for nearly-constant variables (default: 1e-6)

Value

A list with class "variable_health" containing:

• summary: Tibble with per-variable diagnostics

• issues: List of detected issues with severity levels

• exclude_vars: Variables that should be excluded

• warnings: Human-readable warnings

couplr documentation built on Jan. 20, 2026, 5:07 p.m.