score_r2: Compute R-squared between numeric observations and...

In collinear: Automated Multicollinearity Management

Compute R-squared between numeric observations and predictions

Description

Internal function to compute the R-squared of observations versus predictions via stats::cor(). Used within f_numeric_glm(), f_numeric_gam(), f_numeric_rf(), f_count_glm(), and f_count_gam().

Usage

score_r2(o = NULL, p = NULL, ...)

Arguments

o	(required, numeric vector) Observations. Default: NULL
p	(required, numeric vector) Predictions. Default: NULL
...	(optional) Internal args (e.g. function_name for validate_arg_function_name, a precomputed correlation matrix m, or cross-validation args for preference_order).

Value

numeric: Pearson R-squared

See Also

Other modelling_tools: case_weights(), model_formula(), score_auc(), score_cramer()

Examples

  score_r2(
    o = c(1, 1, 1, 0.5, 0.5, 0, 0),
    p = c(1, 0.8, 0.7, 0.6, 0.5, 0.1, 0)
  )

collinear documentation built on Dec. 8, 2025, 5:06 p.m.