Print Model Selection Information
Displays R^2 and other metrics for models with varying predictors, aiding in choosing the best-fitting model after model fitting.
printSubset(x, ...)
x
: Model output from 'bestModel' or a cnorm object....
: Additional parameters.Table with model information criteria.
# Using cnorm object from sample data result <- cnorm(raw = elfe$raw, group = elfe$group) printSubset(result)
Other model: bestModel()
, checkConsistency()
, cnorm.cv()
, derive()
, modelSummary()
, print.cnorm()
, rangeCheck()
, regressionFunction()
, summary.cnorm()
Useful links