printSubset: Print Model Selection Information

In cNORM: Continuous Norming

Print Model Selection Information

Description

Displays R^2 and other metrics for models with varying predictors, aiding in choosing the best-fitting model after model fitting. The F-test compares each model to the preceding (smaller) one, with degrees of freedom based on the actual difference in the number of parameters.

Usage

printSubset(x, ...)

Arguments

x	Model output from 'bestModel' or a cnorm object.
...	Additional parameters.

Value

Table with model information criteria.

See Also

Other model: bestModel(), checkConsistency(), cnorm.cv(), derive(), modelSummary(), print.cnorm(), rangeCheck(), regressionFunction(), summary.cnorm(), weightedAverageModel()

Examples

## Not run: 
  result <- cnorm(raw = elfe$raw, group = elfe$group)
  printSubset(result)

## End(Not run)

cNORM documentation built on July 13, 2026, 5:08 p.m.