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